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Computational Pathology CPath is an interdisciplinary science that augments developments of computational approaches to analyze and model medical histopathology images.
Prognostic factors for patients with brain tumors
Edmund A Gehan and Michael D Walker · 1977
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Terminology of nodular hepatocellular lesions
Ian R Wanless et al · 1995
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No free lunch theorems for optimization
David H Wolpert and William G Macready · 1997
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Biological determinants of cancer progression in men with prostate cancer
Thomas A Stamey, John E McNeal, Cheryl M Yemoto, Bronislava M Sigal, and Iain M Johnstone · 1999
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Prognostic histologic indicators of curatively resected hepatocellular carcinomas: a multi-institutional analysis of 425 patients with definition of a histologic prognostic index
Gregory Y Lauwers, Benoit Terris, Ulysses J Balis, Kenneth P Batts, Jean-Marc Regimbeau, Yuchiao Chang, Fiona Graeme-Cook, Hirohiko Yamabe, Iwao Ikai, Karen R Cleary, et al · 2002
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Prognostic significance of tumor volume after radical prostatectomy: a multivariate analysis of pathological prognostic factors
Laurent Salomon, Olivier Levrel, Aristotelis G Anastasiadis, Jacques Irani, Alexandre De La Taille, Fabien Saint, Dimitri Vordos, Antony Cicco, Andras Hoznek, Dominique Chopin, et al · 2003
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The use of digital imaging, video conferencing, and telepathology in histopathology: a national survey
T Dennis, R. D. Start, and Simon S. Cross · 2005
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Lymphovascular invasion is independently associated with overall survival, cause-specific survival, and local and distant recurrence in patients with negative lymph nodes at radical cystectomy
Yair Lotan, Amit Gupta, Shahrokh F Shariat, Ganesh S Palapattu, Amnon Vazina, Pierre I Karakiewicz, Patrick J Bastian, Craig G Rogers, Gilad Amiel, Paul Perotte, et al · 2005
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A prelude to error reduction in anatomic pathology
Raouf E Nakhleh · 2005
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Quality management in anatomic pathology: promoting patient safety through systems improvement and error reduction
Raouf E Nakhleh and Patrick L Fitzgibbons · 2005
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Frozen section biopsy
Erin Brender, Alison Burke, and Richard M Glass · 2005
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Multifocal renal cancer: genetic basis and its medical relevance
Donald P Bottaro and W Marston Linehan · 2005
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Intraductal carcinoma of the prostate on needle biopsy: histologic features and clinical significance
Charles C Guo and Jonathan I Epstein · 2006
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Renal lymphatics, and lymphatic involvement in sinus vein invasive (pt3b) clear cell renal cell carcinoma: a study of 40 cases
Stephen M Bonsib · 2006
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Dimensionality reduction by learning an invariant mapping
Raia Hadsell, Sumit Chopra, and Yann LeCun · 2006
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Error reduction in surgical pathology
Raouf E Nakhleh · 2006
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A proposal on the identification, histologic reporting, and implications of intraductal prostatic carcinoma
Ronald J Cohen, Thomas M Wheeler, Helmut Bonkhoff, and Mark A Rubin · 2007
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Caltech-256 object category dataset
Gregory Griffin, Alex Holub, and Pietro Perona · 2007
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Neoplasms of the liver
Zachary D Goodman · 2007
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Seer survival monograph: cancer survival among adults: Us seer program, 1988-2001, patient and tumor characteristics
LA Gloeckler Ries, JL Young, GE Keel, MP Eisner, YD Lin, MJ Horner, et al · 2007
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Medical laboratory informatics
Liron Pantanowitz, Walter H Henricks, and Bruce A Beckwith · 2007
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The stanford tissue microarray database
Robert J Marinelli, Kelli Montgomery, Chih Long Liu, Nigam H Shah, Wijan Prapong, Michael Nitzberg, Zachariah K Zachariah, Gavin J Sherlock, Yasodha Natkunam, Robert B West, et al · 2007
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Adaptive discriminant wavelet packet transform and local binary patterns for meningioma subtype classification
Hammad Qureshi, Olcay Sertel, Nasir Rajpoot, Roland Wilson, and Metin Gurcan · 2008
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Computational pathology analysis of tissue microarrays predicts survival of renal clear cell carcinoma patients
Thomas J Fuchs, Peter J Wild, Holger Moch, and Joachim M Buhmann · 2008
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Patient safety and error reduction in surgical pathology
Raouf E Nakhleh · 2008
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Comparison of aspects of smoking among the four histological types of lung cancer
Stacey A Kenfield, Esther K Wei, Meir J Stampfer, Bernard A Rosner, and Graham A Colditz · 2008
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Perineural invasion is an independent predictor of outcome in colorectal cancer
Catherine Liebig, Gustavo Ayala, Jonathan Wilks, Gordana Verstovsek, Hao Liu, Neeti Agarwal, David H Berger, and Daniel Albo · 2009
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Histologic variants of urothelial bladder cancer and nonurothelial histology in bladder cancer
Venu Chalasani, Joseph L Chin, and Jonathan I Izawa · 2009
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Gastric amyloidosis (congo red stain), 2009
Ed Uthman · 2009
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ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Incidence of benign lesions according to tumor size in solid renal masses
Victor Srougi, Raphael B Kato, Fernanda A Salvatore, Pedro PM Ayres, Marcos F Dall’Oglio, and Miguel Srougi · 2009
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Detection of tissue folds in whole slide images
Pinky A Bautista and Yukako Yagi · 2009
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Digital pathology: exploring its applications in diagnostic surgical pathology practice
Ana Richelia Jara-Lazaro, Thomas Paulraj Thamboo, Ming Teh, and Puay Hoon Tan · 2010
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Positive surgical margins at radical prostatectomy predict prostate cancer specific mortality
Jonathan L Wright, Bruce L Dalkin, Lawrence D True, William J Ellis, Janet L Stanford, Paul H Lange, and Daniel W Lin · 2010
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Prognostic significance of lymphovascular invasion in sporadic colorectal cancer
Seok-Byung Lim, Chang Sik Yu, Se Jin Jang, Tae Won Kim, Jong Hoon Kim, and Jin Cheon Kim · 2010
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Digital images and the future of digital pathology
Liron Pantanowitz · 2010
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Very high magnification micrograph of the cerebellum (cerebellar cortex). bielschowsky stain., 2010
Nephron · 2010
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Detection and classification of thyroid follicular lesions based on nuclear structure from histopathology images
Wei Wang, John A Ozolek, and Gustavo K Rohde · 2010
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Robbins and Cotran pathologic basis of disease
Abul K. Abbas, Jon C. Aster, and Vinay Kumar · 2010
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Pattern recognition in histopathological images: An icpr 2010 contest
Metin N Gurcan, Anant Madabhushi, and Nasir Rajpoot · 2010
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Diagnosis of ovarian carcinoma cell type is highly reproducible: a transcanadian study
Martin Köbel, Steve E Kalloger, Patricia M Baker, Carol A Ewanowich, Jocelyne Arseneau, Viktor Zherebitskiy, Soran Abdulkarim, Samuel Leung, Máire A Duggan, Dan Fontaine, et al · 2010
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Automatic segmentation of colon glands using object-graphs
Cigdem Gunduz-Demir, Melih Kandemir, Akif Burak Tosun, and Cenk Sokmensuer · 2010
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Assessment of ki67 in breast cancer: recommendations from the international ki67 in breast cancer working group
Mitch Dowsett, Torsten O Nielsen, Roger A’Hern, John Bartlett, R Charles Coombes, Jack Cuzick, Matthew Ellis, N Lynn Henry, Judith C Hugh, Tracy Lively, et al · 2011
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Prognostic significance of tumor volume in radical prostatectomy and needle biopsy specimens
Jonathan I Epstein · 2011
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Impact of proposed iaslc/ats/ers classification of lung adenocarcinoma: prognostic subgroups and implications for further revision of staging based on analysis of 514 stage i cases
Akihiko Yoshizawa, Noriko Motoi, Gregory J Riely, Cami S Sima, William L Gerald, Mark G Kris, Bernard J Park, Valerie W Rusch, and William D Travis · 2011
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Color standardization and optimization in whole slide imaging
Yukako Yagi · 2011
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Standardization in digital pathology: Supplement 145 of the dicom standards
Rajendra Singh, Lauren Chubb, Liron Pantanowitz, and Anil Parwani · 2011
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Nissl cerebelo ampliado, 2011
Andresja3 · 2011
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Multimodal deep learning
Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, and Andrew Y Ng · 2011
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Study of amended reports to evaluate and improve surgical pathology processes
Frederick A Meier, Ruan C Varney, and Richard J Zarbo · 2011
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Implementation of whole slide imaging in surgical pathology: A value added approach
Mike Isaacs, Jochen K Lennerz, Stacey Yates, Walter Clermont, Joan Rossi, and John D Pfeifer · 2011
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Cytology, liquid-based cytology and automation
John HF Smith · 2011
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Systematic analysis of breast cancer morphology uncovers stromal features associated with survival
Andrew H Beck, Ankur R Sangoi, Samuel Leung, Robert J Marinelli, Torsten O Nielsen, Marc J Van De Vijver, Robert B West, Matt Van De Rijn, and Daphne Koller · 2011
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The national lung screening trial: overview and study design
National Lung Screening Trial Research Team · 2011
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An active learning based classification strategy for the minority class problem: application to histopathology annotation
Scott Doyle, James Monaco, Michael Feldman, John Tomaszewski, and Anant Madabhushi · 2011
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All-idb: The acute lymphoblastic leukemia image database for image processing
Ruggero Donida Labati, Vincenzo Piuri, and Fabio Scotti · 2011
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Digital pathology: current status and future perspectives
Shaimaa Al-Janabi, André Huisman, and Paul J Van Diest · 2012
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Digital pathology: Data-intensive frontier in medical imaging
Lee AD Cooper, Alexis B Carter, Alton B Farris, Fusheng Wang, Jun Kong, David A Gutman, Patrick Widener, Tony C Pan, Sharath R Cholleti, Ashish Sharma, et al · 2012
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Prognostic significance of using solid versus whole tumor size on high-resolution computed tomography for predicting pathologic malignant grade of tumors in clinical stage ia lung adenocarcinoma: a multicenter study
Yasuhiro Tsutani, Yoshihiro Miyata, Haruhiko Nakayama, Sakae Okumura, Shuji Adachi, Masahiro Yoshimura, and Morihito Okada · 2012
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Managing and querying whole slide images
Fusheng Wang, Tae W Oh, Cristobal Vergara-Niedermayr, Tahsin Kurc, and Joel Saltz · 2012
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Representation learning: A review and new perspectives, 2012
Yoshua Bengio, Aaron Courville, and Pascal Vincent · 2012
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer
Scott Doyle, Michael D Feldman, Natalie Shih, John Tomaszewski, and Anant Madabhushi · 2012
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Intraductal carcinoma of the prostate: the whole story
Ming Zhou · 2013
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The size of consolidation on thin-section computed tomography is a better predictor of survival than the maximum tumour dimension in resectable lung cancer
Tatsuo Maeyashiki, Kenji Suzuki, Aritoshi Hattori, Takeshi Matsunaga, Kazuya Takamochi, and Shiaki Oh · 2013
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Clinicopathological risk factors of stage ii colon cancer: results of a prospective study
C Santos, A López-Doriga, M Navarro, J Mateo, S Biondo, M Martínez Villacampa, G Soler, X Sanjuan, MJ Paules, B Laquente, et al · 2013
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Study group for perineural invasion projected by the japanese society for cancer of the colon and rectum (jsccr). characterization of perineural invasion as a component of colorectal cancer staging
H Ueno, K Shirouzu, Y Eishi, K Yamada, T Kusumi, R Kushima, M Ikegami, A Murata, K Okuno, T Sato, et al · 2013
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Colon and rectal cancer survival by tumor location and microsatellite instability: the colon cancer family registry
Amanda I Phipps, Noralane M Lindor, Mark A Jenkins, John A Baron, Aung Ko Win, Steven Gallinger, Robert Gryfe, and Polly A Newcomb · 2013
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Digital imaging in pathology: whole-slide imaging and beyond
Farzad Ghaznavi, Andrew Evans, Anant Madabhushi, and Michael Feldman · 2013
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Going fully digital: Perspective of a dutch academic pathology lab
Nikolas Stathonikos, Mitko Veta, André Huisman, and Paul J van Diest · 2013
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Validating whole slide imaging for diagnostic purposes in pathology: guideline from the college of american pathologists pathology and laboratory quality center
Liron Pantanowitz, John H Sinard, Walter H Henricks, Lisa A Fatheree, Alexis B Carter, Lydia Contis, Bruce A Beckwith, Andrew J Evans, Avtar Lal, and Anil V Parwani · 2013
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Computational cell classification methodology for hepatocellular carcinoma
Chamidu Atupelage, Hiroshi Nagahashi, Fumikazu Kimura, Masahiro Yamaguchi, Tokiya Abe, Akinori Hashiguchi, and Michiie Sakamoto · 2013
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A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection
Angel Alfonso Cruz-Roa, John Edison Arevalo Ovalle, Anant Madabhushi, and Fabio Augusto González Osorio · 2013
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Mitosis detection in breast cancer histological images an icpr 2012 contest
Ludovic Roux, Daniel Racoceanu, Nicolas Loménie, Maria Kulikova, Humayun Irshad, Jacques Klossa, Frédérique Capron, Catherine Genestie, Gilles Le Naour, and Metin N Gurcan · 2013
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The cancer imaging archive (tcia): maintaining and operating a public information repository
Kenneth Clark, Bruce Vendt, Kirk Smith, John Freymann, Justin Kirby, Paul Koppel, Stephen Moore, Stanley Phillips, David Maffitt, Michael Pringle, et al · 2013
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Computational pathology to discriminate benign from malignant intraductal proliferations of the breast
Fei Dong, Humayun Irshad, Eun-Yeong Oh, Melinda F Lerwill, Elena F Brachtel, Nicholas C Jones, Nicholas W Knoblauch, Laleh Montaser-Kouhsari, Nicole B Johnson, Luigi KF Rao, et al · 2014
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Risk management in the clinical laboratory
Sarah W Njoroge and James H Nichols · 2014
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Critical review of the prognostic significance of pathological variables in patients undergoing resection for colorectal liver metastases
Dhanwant Gomez, Abed M Zaitoun, Antonella De Rosa, Sina Hossaini, Ian J Beckingham, Adam Brooks, and Iain C Cameron · 2014
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Quantitative analysis of stain variability in histology slides and an algorithm for standardization
Babak Ehteshami Bejnordi, Nadya Timofeeva, Irene Otte-Höller, Nico Karssemeijer, and Jeroen AWM van der Laak · 2014
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A nonlinear mapping approach to stain normalization in digital histopathology images using image-specific color deconvolution
Adnan Mujahid Khan, Nasir Rajpoot, Darren Treanor, and Derek Magee · 2014
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Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features
Haibo Wang, Angel Cruz Roa, Ajay N Basavanhally, Hannah L Gilmore, Natalie Shih, Mike Feldman, John Tomaszewski, Fabio Gonzalez, and Anant Madabhushi · 2014
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Deep learning of feature representation with multiple instance learning for medical image analysis
Yan Xu, Tao Mo, Qiwei Feng, Peilin Zhong, Maode Lai, I Eric, and Chao Chang · 2014
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Types and frequency of errors during different phases of testing at a clinical medical laboratory of a teaching hospital in tehran, iran
Alireza Abdollahi, Hiva Saffar, and Hana Saffar · 2014
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Can digital pathology result in cost savings? a financial projection for digital pathology implementation at a large integrated health care organization
Jonhan Ho, Stefan M Ahlers, Curtis Stratman, Orly Aridor, Liron Pantanowitz, Jeffrey L Fine, John A Kuzmishin, Michael C Montalto, and Anil V Parwani · 2014
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Implementation of large-scale routine diagnostics using whole slide imaging in sweden: Digital pathology experiences 2006-2013
Sten Thorstenson, Jesper Molin, and Claes Lundström · 2014
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Regulatory barriers surrounding the use of whole slide imaging in the united states of america
Anil V Parwani, Lewis Hassell, Eric Glassy, and Liron Pantanowitz · 2014
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A quantitative histomorphometric classifier (quhbic) identifies aggressive versus indolent p16-positive oropharyngeal squamous cell carcinoma
James S Lewis Jr, Sahirzeeshan Ali, Jingqin Luo, Wade L Thorstad, and Anant Madabhushi · 2014
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Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks
Angel Cruz-Roa, Ajay Basavanhally, Fabio González, Hannah Gilmore, Michael Feldman, Shridar Ganesan, Natalie Shih, John Tomaszewski, and Anant Madabhushi · 2014
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A stochastic polygons model for glandular structures in colon histology images
Korsuk Sirinukunwattana, David RJ Snead, and Nasir M Rajpoot · 2015
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Biologic differences between peripheral and transition zone prostate cancer
J Joy Lee, I-Chun Thomas, Rosalie Nolley, Michelle Ferrari, James D Brooks, and John T Leppert · 2015
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Cribriform growth is highly predictive for postoperative metastasis and disease-specific death in gleason score 7 prostate cancer
Charlotte F Kweldam, Mark F Wildhagen, Ewout W Steyerberg, Chris H Bangma, Theodorus H Van Der Kwast, and Geert Jlh Van Leenders · 2015
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Relationship between tumor size and survival in non–small-cell lung cancer (nsclc): an analysis of the surveillance, epidemiology, and end results (seer) registry
Jianjun Zhang, Kathryn A Gold, Heather Y Lin, Stephen G Swisher, Yan Xing, J Jack Lee, Edward S Kim, and William N William Jr · 2015
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Renal cell carcinoma: histological classification and correlation with imaging findings
Valdair F Muglia and Adilson Prando · 2015
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Is hepatic resection for large or multifocal intrahepatic cholangiocarcinoma justified? results from a multi-institutional collaboration
Gaya Spolverato, Yuhree Kim, Sorin Alexandrescu, Irinel Popescu, Hugo P Marques, Luca Aldrighetti, T Clark Gamblin, John Miura, Shishir K Maithel, Malcolm H Squires, et al · 2015
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Stain specific standardization of whole-slide histopathological images
Babak Ehteshami Bejnordi, Geert Litjens, Nadya Timofeeva, Irene Otte-Höller, André Homeyer, Nico Karssemeijer, and Jeroen AWM van der Laak · 2015
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A dataset for breast cancer histopathological image classification
Fabio A Spanhol, Luiz S Oliveira, Caroline Petitjean, and Laurent Heutte · 2015
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
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Facenet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin · 2015
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Role of informatics in patient safety and quality assurance
Raouf E Nakhleh · 2015
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Reducing turnaround time of surgical pathology reports in pathology and laboratory medicine departments
Saeed Alshieban and Khaled Al-Surimi · 2015
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Assessment of algorithms for mitosis detection in breast cancer histopathology images
Mitko Veta, Paul J Van Diest, Stefan M Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio Gonzalez, Anders BL Larsen, Jacob S Vestergaard, Anders B Dahl, et al · 2015
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Triaging diagnostically relevant regions from pathology whole slides of breast cancer: A texture based approach
Mohammad Peikari, Mehrdad J Gangeh, Judit Zubovits, Gina Clarke, and Anne L Martel · 2015
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Staining correction in digital pathology by utilizing a dye amount table
Pinky A Bautista and Yukako Yagi · 2015
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You should use regression to detect cells
Philipp Kainz, Martin Urschler, Samuel Schulter, Paul Wohlhart, and Vincent Lepetit · 2015
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Automated grading of gliomas using deep learning in digital pathology images: a modular approach with ensemble of convolutional neural networks
Mehmet Günhan Ertosun and Daniel L Rubin · 2015
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Current status of whole-slide imaging in education
Adela Saco, Jose Antoni Bombi, Adriana Garcia, Jose Ramírez, and Jaume Ordi · 2016
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Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
Geert Litjens, Clara I Sánchez, Nadya Timofeeva, Meyke Hermsen, Iris Nagtegaal, Iringo Kovacs, Christina Hulsbergen-Van De Kaa, Peter Bult, Bram Van Ginneken, and Jeroen Van Der Laak · 2016
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Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles
Jocelyn Barker, Assaf Hoogi, Adrien Depeursinge, and Daniel L Rubin · 2016
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Locality sensitive deep learning for detection and classification of nuclei in routine colon cancer histology images
Korsuk Sirinukunwattana, Shan E Ahmed Raza, Yee-Wah Tsang, David RJ Snead, Ian A Cree, and Nasir M Rajpoot · 2016
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Dcan: deep contour-aware networks for accurate gland segmentation
Hao Chen, Xiaojuan Qi, Lequan Yu, and Pheng-Ann Heng · 2016
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A systematic approach for glandular structure segmentation from colon histopathology images
Ramin Nateghi, Habibollah Danyali, and Mohammad-Sadegh Helfroush · 2016
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Tp53 mutations in epithelial ovarian cancer
Yu Zhang, Lan Cao, Daniel Nguyen, and Hua Lu · 2016
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101 Steps to Better Histology - a Practical Guide to Good Histology Practice
Geoffrey Rolls · 2016
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A Practical guide to Frozen Section Technique
Stephen R. Peters · 2016
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“slide less pathology”: Fairy tale or reality?
M Indu, R Rathy, and MP Binu · 2016
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Empirical comparison of color normalization methods for epithelial-stromal classification in h and e images
Amit Sethi, Lingdao Sha, Abhishek Ramnath Vahadane, Ryan J Deaton, Neeraj Kumar, Virgilia Macias, and Peter H Gann · 2016
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Deep learning for magnification independent breast cancer histopathology image classification
Neslihan Bayramoglu, Juho Kannala, and Janne Heikkilä · 2016
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Toward a shared vision for cancer genomic data
Robert L Grossman, Allison P Heath, Vincent Ferretti, Harold E Varmus, Douglas R Lowy, Warren A Kibbe, and Louis M Staudt · 2016
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Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features
Kun-Hsing Yu, Ce Zhang, Gerald J Berry, Russ B Altman, Christopher Ré, Daniel L Rubin, and Michael Snyder · 2016
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Instance-level segmentation for autonomous driving with deep densely connected mrfs
Ziyu Zhang, Sanja Fidler, and Raquel Urtasun · 2016
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Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Cathy O’Neil · 2016
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Multi-organ cancer classification and survival analysis
Stefan Bauer, Nicolas Carion, Peter Schüffler, Thomas Fuchs, Peter Wild, and Joachim M Buhmann · 2016
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Deep convolutional neural networks for computer-aided detection: Cnn architectures, dataset characteristics and transfer learning
Hoo-Chang Shin, Holger R Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel Mollura, and Ronald M Summers · 2016
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Handcrafted features with convolutional neural networks for detection of tumor cells in histology images
Muhammad Nasim Kashif, Shan E Ahmed Raza, Korsuk Sirinukunwattana, Muhammmad Arif, and Nasir Rajpoot · 2016
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Identifying metastases in sentinel lymph nodes with deep convolutional neural networks
Richard Chen, Yating Jing, and Hunter Jackson · 2016
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Squeezenet: Alexnet-level accuracy with 50x fewer parameters and <0.5mb model size
Forrest N. Iandola, Song Han, Matthew W. Moskewicz, Khalid Ashraf, William J. Dally, and Kurt Keutzer · 2016
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Available at: https://camelyon16.grand-challenge.org/ (accessed June 11, 2021), 2016
CAMELYON16 ISBI challenge on cancer metastasis detection in lymph node · 2016
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Test cancellation: a college of american pathologists q-probes study
Teresa P Darcy, Samuel P Barasch, Rhona J Souers, and Peter L Perrotta · 2016
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Interpretive diagnostic error reduction in surgical pathology and cytology: guideline from the college of american pathologists pathology and laboratory quality center and the association of directors of anatomic and surgical pathology
Raouf E Nakhleh, Vania Nosé, Carol Colasacco, Lisa A Fatheree, Tamera J Lillemoe, Douglas C McCrory, Frederick A Meier, Christopher N Otis, Scott R Owens, Stephen S Raab, et al · 2016
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Impacts of a large decentralized telepathology network in canada
Guy Pare, Julien Meyer, Marie-Claude Trudel, and Bernard Tetu · 2016
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Enabling digital pathology in the diagnostic setting: navigating through the implementation journey in an academic medical centre
Chee Leong Cheng, Rafay Azhar, Shi Hui Adeline Sng, Yong Quan Chua, Jacqueline Siok Gek Hwang, Jennifer Poi Fun Chin, Waih Khuen Seah, Janel Chui Ling Loke, Roy Hang Leng Ang, and Puay Hoon Tan · 2016
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Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases
Andrew Janowczyk and Anant Madabhushi · 2016
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Incidence and survival of urothelial carcinoma of the urinary bladder in norway 1981-2014
BK Andreassen, B Aagnes, R Gislefoss, M Andreassen, and R Wahlqvist · 2016
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Deep learning convolutional networks for multiphoton microscopy vasculature segmentation
Petteri Teikari, Marc Santos, Charissa Poon, and Kullervo Hynynen · 2016
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Radiology data from the cancer genome atlas lung adenocarcinoma [tcga-luad] collection
B Albertina, M Watson, C Holback, R Jarosz, S Kirk, Y Lee, and J Lemmerman · 2016
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Collection of textures in colorectal cancer histology
Jakob Nikolas Kather, FG Zöllner, F Bianconi, SM Melchers, LR Schad, T Gaiser, A Marx, and CA Weis · 2016
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A deep convolutional neural network for segmenting and classifying epithelial and stromal regions in histopathological images
Jun Xu, Xiaofei Luo, Guanhao Wang, Hannah Gilmore, and Anant Madabhushi · 2016
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Multi-class texture analysis in colorectal cancer histology
Jakob Kather, Cleo-Aron Weis, Francesco Bianconi, Susanne Melchers, Lothar Schad, Timo Gaiser, Alexander Marx, and Frank Zöllner · 2016
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A robust nonlinear tissue-component discrimination method for computational pathology
Jacob S Sarnecki, Kathleen H Burns, Laura D Wood, Kevin M Waters, Ralph H Hruban, Denis Wirtz, and Pei-Hsun Wu · 2016
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Patch-based convolutional neural network for whole slide tissue image classification
Le Hou, Dimitris Samaras, Tahsin M Kurc, Yi Gao, James E Davis, and Joel H Saltz · 2016
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Fda allows marketing of first whole slide imaging system for digital pathology
FDA News Release · 2017
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Digital pathology in clinical use: where are we now and what is holding us back?
Jon Griffin and Darren Treanor · 2017
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Deep learning for classification of colorectal polyps on whole-slide images
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Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies
Babak Ehteshami Bejnordi, Maeve Mullooly, Ruth M Pfeiffer, Shaoqi Fan, Pamela M Vacek, Donald L Weaver, Sally Herschorn, Louise A Brinton, Bram van Ginneken, Nico Karssemeijer, et al · 2018
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Deep convolutional neural networks for breast cancer histology image analysis
Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, and Alexandr A Kalinin · 2018
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Deep learning framework for multi-class breast cancer histology image classification
Yeeleng S Vang, Zhen Chen, and Xiaohui Xie · 2018
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Histopathological breast-image classification using local and frequency domains by convolutional neural network
Abdullah-Al Nahid and Yinan Kong · 2018
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Context-aware learning using transferable features for classification of breast cancer histology images
Ruqayya Awan, Navid Alemi Koohbanani, Muhammad Shaban, Anna Lisowska, and Nasir Rajpoot · 2018
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Convolutional capsule network for classification of breast cancer histology images
Tomas Iesmantas and Robertas Alzbutas · 2018
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Seamless virtual whole slide image synthesis and validation using perceptual embedding consistency
Amal Lahiani, Irina Klaman, Nassir Navab, Shadi Albarqouni, and Eldad Klaiman · 2020
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Glandular orientation and shape determined by computational pathology could identify aggressive tumor for early colon carcinoma: a triple-center study
Meng-Yao Ji, Lei Yuan, Shi-Min Lu, Meng-Ting Gao, Zhi Zeng, Na Zhan, Yi-Juan Ding, Zheng-Ru Liu, Ping-Xiao Huang, Cheng Lu, et al · 2020
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Dense steerable filter cnns for exploiting rotational symmetry in histology images
Simon Graham, David Epstein, and Nasir Rajpoot · 2020
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Pcolornet: investigating the impact of different color spaces for pathological image classification
Shamima Nasrin, Md Zahangir Alom, Tarek M Taha, and Vijayan K Asari · 2020
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Stain color adaptive normalization (scan) algorithm: separation and standardization of histological stains in digital pathology
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Classification of lung cancer histology images using patch-level summary statistics
Simon Graham, Muhammad Shaban, Talha Qaiser, Navid Alemi Koohbanani, Syed Ali Khurram, and Nasir Rajpoot · 2018
Cited alongside, same era.
Segmentation of glandular epithelium in colorectal tumours to automatically compartmentalise ihc biomarker quantification: A deep learning approach
Yves-Rémi Van Eycke, Cédric Balsat, Laurine Verset, Olivier Debeir, Isabelle Salmon, and Christine Decaestecker · 2018
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The performance of digital microscopy for primary diagnosis in human pathology: a systematic review
Anna Luíza Damaceno Araújo, Lady Paola Aristizábal Arboleda, Natalia Rangel Palmier, Jessica Montenegro Fonseca, Mariana de Pauli Paglioni, Wagner Gomes-Silva, Ana Carolina Prado Ribeiro, Thais Bianca Brandao, Luciana Estevam Simonato, Paul M Speight, et al · 2019
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Optical versus virtual microscope for medical education: a systematic review
Kuo-Hsing Kuo and Joyce M Leo · 2019
Cited alongside, same era.
The use of digital pathology and image analysis in clinical trials
Robert Pell, Karin Oien, Max Robinson, Helen Pitman, Nasir Rajpoot, Jens Rittscher, David Snead, Clare Verrill, UK National Cancer Research Institute (NCRI) Cellular-Molecular Pathology (CM-Path) quality assurance working group, Owen J Driskell, et al · 2019
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Digital pathology: Review of current opportunities and challenges for oral pathologists
Yingci Liu and Liron Pantanowitz · 2019
Cited alongside, same era.
Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the digital pathology association
Esther Abels, Liron Pantanowitz, Famke Aeffner, Mark D Zarella, Jeroen van der Laak, Marilyn M Bui, Venkata NP Vemuri, Anil V Parwani, Jeff Gibbs, Emmanuel Agosto-Arroyo, et al · 2019
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Massimo Salvi, Nicola Michielli, and Filippo Molinari · 2020
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Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence
Shivam Kalra, Hamid R Tizhoosh, Sultaan Shah, Charles Choi, Savvas Damaskinos, Amir Safarpoor, Sobhan Shafiei, Morteza Babaie, Phedias Diamandis, Clinton JV Campbell, et al · 2020
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Whole slide imaging system using deep learning-based automated focusing
Tathagato Rai Dastidar and Renu Ethirajan · 2020
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Advances in digital pathology: from artificial intelligence to label-free imaging
Frederik Großerueschkamp, Hendrik Jütte, Klaus Gerwert, and Andrea Tannapfel · 2021
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Validation of a portable whole-slide imaging system for frozen section diagnosis
Rajiv Kumar Kaushal, Sathyanarayanan Rajaganesan, Vidya Rao, Akash Sali, Balaji More, and Sangeeta B Desai · 2021
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Deep learning in histopathology: the path to the clinic
Jeroen Van der Laak, Geert Litjens, and Francesco Ciompi · 2021
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Artificial intelligence and computational pathology
Miao Cui and David Y Zhang · 2021
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Deep learning in cancer pathology: a new generation of clinical biomarkers
Amelie Echle, Niklas Timon Rindtorff, Titus Josef Brinker, Tom Luedde, Alexander Thomas Pearson, and Jakob Nikolas Kather · 2021
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The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis
Massimo Salvi, U. Rajendra Acharya, Filippo Molinari, and Kristen M. Meiburger · 2021
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Deep neural network models for computational histopathology: A survey
Chetan L. Srinidhi, Ozan Ciga, and Anne L. Martel · 2021
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Evaluating the success of the tele-pathology system in governmental hospitals in kuwait: an explanatory sequential mixed methods design
Ali Jasem Buabbas, Tareq Mohammad, Adel K Ayed, Hawraa Mallah, Hamza Al-Shawaf, and Abdulwahed Mohammed Khalfan · 2021
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Self-path: Self-supervision for classification of pathology images with limited annotations
Navid Alemi Koohbanani, Balagopal Unnikrishnan, Syed Ali Khurram, Pavitra Krishnaswamy, and Nasir Rajpoot · 2021
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Artificial intelligence and digital pathology: Opportunities and implications for immuno-oncology
Faranak Sobhani, Ruth Robinson, Azam Hamidinekoo, Ioannis Roxanis, Navita Somaiah, and Yinyin Yuan · 2021
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Artificial intelligence for solid tumour diagnosis in digital pathology
Christophe Klein, Qinghe Zeng, Floriane Arbaretaz, Estelle Devêvre, Julien Calderaro, Nicolas Lomenie, and Maria Chiara Maiuri · 2021
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Artificial intelligence & tissue biomarkers: advantages, risks and perspectives for pathology
Cesare Lancellotti, Pierandrea Cancian, Victor Savevski, Soumya Rupa Reddy Kotha, Filippo Fraggetta, Paolo Graziano, and Luca Di Tommaso · 2021
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Challenges in the development, deployment, and regulation of artificial intelligence in anatomic pathology
Jerome Y Cheng, Jacob T Abel, Ulysses GJ Balis, David S McClintock, and Liron Pantanowitz · 2021
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Ai applications in renal pathology
Yuankai Huo, Ruining Deng, Quan Liu, Agnes B Fogo, and Haichun Yang · 2021
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Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts
Sarah Haggenmüller, Roman C Maron, Achim Hekler, Jochen S Utikal, Catarina Barata, Raymond L Barnhill, Helmut Beltraminelli, Carola Berking, Brigid Betz-Stablein, Andreas Blum, et al · 2021
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Lessons learned from designing an ai-enabled diagnosis tool for pathologists
Hongyan Gu, Jingbin Huang, Lauren Hung, and Xiang’Anthony’ Chen · 2021
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Overview of the role of artificial intelligence in pathology: the computer as a pathology digital assistant
John E Tomaszewski · 2021
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Data-efficient and weakly supervised computational pathology on whole-slide images
Ming Y Lu, Drew FK Williamson, Tiffany Y Chen, Richard J Chen, Matteo Barbieri, and Faisal Mahmood · 2021
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Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
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A comprehensive analysis of weakly-supervised semantic segmentation in different image domains
Lyndon Chan, Mahdi S Hosseini, and Konstantinos N Plataniotis · 2021
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Protocol for the examination of resection specimens from patients with ductal carcinoma in situ (dcis) of the breast
Connolly Fitzgibbons · 2021
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Protocol for the examination of radical prostatectomy specimens from patients with carcinoma of the prostate gland, Nov 2021
Srigley Paner · 2021
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Intraductal carcinoma of the prostate: a guide for the practicing pathologist
Murali Varma · 2021
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Long-term survival among histological subtypes in advanced epithelial ovarian cancer: population-based study using the surveillance, epidemiology, and end results database
Shi-Ping Yang, Hui-Luan Su, Xiu-Bei Chen, Li Hua, Jian-Xian Chen, Min Hu, Jian Lei, San-Gang Wu, Juan Zhou, et al · 2021
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Common cancer types
National Cancer Institute · 2021
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A systematic review of multifocal and multicentric glioblastoma
Yao Li, Zuo-Xin Zhang, Guo-Hao Huang, Yan Xiang, Lin Yang, Yu-Chun Pei, Wei Yang, and Sheng-Qing Lv · 2021
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The 2021 who classification of tumors of the central nervous system: a summary
David N Louis, Arie Perry, Pieter Wesseling, Daniel J Brat, Ian A Cree, Dominique Figarella-Branger, Cynthia Hawkins, HK Ng, Stefan M Pfister, Guido Reifenberger, et al · 2021
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WHO Classification of Tumours Editorial Board · 2021
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Survival statistics for brain and spinal cord tumours
Canadian Cancer Society · 2021
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Pathal: An active learning framework for histopathology image analysis
Wenyuan Li, Jiayun Li, Zichen Wang, Jennifer Polson, Anthony E Sisk, Dipti P Sajed, William Speier, and Corey W Arnold · 2021
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Colorimetrical uncertainty estimation for the performance assessment of whole slide imaging scanners
Paul Lemaillet, Kazuyo Takeda, Andrew C Lamont, and Anant Agrawal · 2021
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Dicom format and protocol standardization—a core requirement for digital pathology success
David A Clunie · 2021
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Improvements in lymphocytes detection using deep learning with a preprocessing stage
Rodrigo Escobar Díaz Guerrero and José Luís Oliveira · 2021
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Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation
Rikiya Yamashita, Jin Long, Snikitha Banda, Jeanne Shen, and Daniel L Rubin · 2021
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Dual encoder attention u-net for nuclei segmentation
Abhishek Vahadane, B Atheeth, and Shantanu Majumdar · 2021
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Chromogenic immunohistochemistry for calponin in sclerosing adenosis, 2021
Mikael Häggström · 2021
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Learn like a pathologist: curriculum learning by annotator agreement for histopathology image classification
Jerry Wei, Arief Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis Vaickus, Charles Brown, Michael Baker, Mustafa Nasir-Moin, Naofumi Tomita, et al · 2021
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Ethics of ai in pathology: Current paradigms and emerging issues
Chhavi Chauhan and Rama Gullapalli · 2021
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A survey on bias and fairness in machine learning
Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, and Aram Galstyan · 2021
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The impact of site-specific digital histology signatures on deep learning model accuracy and bias
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A petri dish for histopathology image analysis
Jerry Wei, Arief Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis Vaickus, Charles Brown, Michael Baker, Naofumi Tomita, Lorenzo Torresani, et al · 2021
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Lizard: A large-scale dataset for colonic nuclear instance segmentation and classification
Simon Graham, Mostafa Jahanifar, Ayesha Azam, Mohammed Nimir, Yee-Wah Tsang, Katherine Dodd, Emily Hero, Harvir Sahota, Atisha Tank, Ksenija Benes, et al · 2021
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Diagset: a dataset for prostate cancer histopathological image classification
Michał Koziarski, Bogusław Cyganek, Bogusław Olborski, Zbigniew Antosz, Marcin Żydak, Bogdan Kwolek, Paweł Wąsowicz, Andrzej Bukała, Jakub Swadźba, and Piotr Sitkowski · 2021
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Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels
Hans Pinckaers, Wouter Bulten, Jeroen van der Laak, and Geert Litjens · 2021
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Dual-stream multiple instance learning network for whole slide image classification with self-supervised contrastive learning
Bin Li, Yin Li, and Kevin W Eliceiri · 2021
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Hybrid supervision learning for pathology whole slide image classification
Jiahui Li, Wen Chen, Xiaodi Huang, Shuang Yang, Zhiqiang Hu, Qi Duan, Dimitris N Metaxas, Hongsheng Li, and Shaoting Zhang · 2021
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Efficient cellular annotation of histopathology slides with real-time ai augmentation
James A Diao, Richard J Chen, and Joseph C Kvedar · 2021
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Quick annotator: an open-source digital pathology based rapid image annotation tool
Runtian Miao, Robert Toth, Yu Zhou, Anant Madabhushi, and Andrew Janowczyk · 2021
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Datasetgan: Efficient labeled data factory with minimal human effort
Yuxuan Zhang, Huan Ling, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, and Sanja Fidler · 2021
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"everyone wants to do the model work, not the data work": Data cascades in high-stakes ai
Nithya Sambasivan, Shivani Kapania, Hannah Highfill, Diana Akrong, Praveen Kumar Paritosh, and Lora Mois Aroyo · 2021
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How to avoid machine learning pitfalls: a guide for academic researchers
Michael A Lones · 2021
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Ai-based pathology predicts origins for cancers of unknown primary
Ming Y Lu, Tiffany Y Chen, Drew FK Williamson, Melissa Zhao, Maha Shady, Jana Lipkova, and Faisal Mahmood · 2021
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Colon tissues classification and localization in whole slide images using deep learning
Pushpanjali Gupta, Yenlin Huang, Prasan Kumar Sahoo, Jeng-Fu You, Sum-Fu Chiang, Djeane Debora Onthoni, Yih-Jong Chern, Kuo-Yu Chao, Jy-Ming Chiang, Chien-Yuh Yeh, et al · 2021
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Ai slipping on tiles: Data leakage in digital pathology
Nicole Bussola, Alessia Marcolini, Valerio Maggio, Giuseppe Jurman, and Cesare Furlanello · 2021
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Trans-attention multiple instance learning for cancer tissue classification in digital histopathology images
Afaf Alharbi, Yaqi Wang, and Qianni Zhang · 2021
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Whole slide images are 2d point clouds: Context-aware survival prediction using patch-based graph convolutional networks
Richard J Chen, Ming Y Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y Chen, Drew FK Williamson, and Faisal Mahmood · 2021
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Instance-based vision transformer for subtyping of papillary renal cell carcinoma in histopathological image
Zeyu Gao, Bangyang Hong, Xianli Zhang, Yang Li, Chang Jia, Jialun Wu, Chunbao Wang, Deyu Meng, and Chen Li · 2021
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Jiatai Lin, Guoqiang Han, Xipeng Pan, Hao Chen, Danyi Li, Xiping Jia, Zhenwei Shi, Zhizhen Wang, Yanfen Cui, Haiming Li, et al · 2021
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Mcua: Multi-level context and uncertainty aware dynamic deep ensemble for breast cancer histology image classification
Zakaria Senousy, Mohammed M Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U Rajendra Acharya, Abbas Khosravi, and Saeid Nahavandi · 2021
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pinet–an automated proliferation index calculator framework for ki67 breast cancer images
Rokshana Stephny Geread, Abishika Sivanandarajah, Emily Rita Brouwer, Geoffrey A Wood, Dimitrios Androutsos, Hala Faragalla, and April Khademi · 2021
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A framework for falsifiable explanations of machine learning models with an application in computational pathology
David Schuchmacher, Stephanie Schoerner, Claus Kuepper, Frederik Grosserueschkamp, Carlo Sternemann, Celine Lugnier, Anna-Lena Kraeft, Hendrik Juette, Andrea Tannapfel, Anke Reinacher-Schick, et al · 2021
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A u-net based framework to quantify glomerulosclerosis in digitized pas and h&e stained human tissues
Jaime Gallego, Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Michifumi Yamashita, M Alejandra Gabaldon, and Arkadiusz Gertych · 2021
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Artificial intelligence-assisted system for precision diagnosis of pd-l1 expression in non-small cell lung cancer
Jianghua Wu, Changling Liu, Xiaoqing Liu, Wei Sun, Linfeng Li, Nannan Gao, Yajun Zhang, Xin Yang, Junjie Zhang, Haiyue Wang, et al · 2021
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Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion
Pingjun Chen, Yun Liang, Xiaoshuang Shi, Lin Yang, and Paul Gader · 2021
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Prostate biomedical images segmentation and classification by using u-net cnn model
Abdala Nour, Sherif Saad, and Boubakeur Boufama · 2021
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Automated end-to-end deep learning framework for classification and tumor localization from native non-stained pathology images
Akram Bayat, Connor Anderson, and Pratik Shah · 2021
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A generalized deep learning framework for whole-slide image segmentation and analysis
Mahendra Khened, Avinash Kori, Haran Rajkumar, Ganapathy Krishnamurthi, and Balaji Srinivasan · 2021
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Fluid segmentation in oct with an improved convolutional neural network
Gang Xing, Jianqin Lei, and Xiayu Xu · 2021
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Simultaneous nuclear instance and layer segmentation in oral epithelial dysplasia
Adam J Shephard, Simon Graham, Saad Bashir, Mostafa Jahanifar, Hanya Mahmood, Ali Khurram, and Nasir M Rajpoot · 2021
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Exploring pathologist knowledge for automatic assessment of breast cancer metastases in whole-slide image
Liuan Wang, Li Sun, Mingjie Zhang, Huigang Zhang, Wang Ping, Rong Zhou, and Jun Sun · 2021
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Robust interactive semantic segmentation of pathology images with minimal user input
Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani, and Nasir M Rajpoot · 2021
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Deep learning-based histopathological segmentation for whole slide images of colorectal cancer in a compressed domain
Hyeongsub Kim, Hongjoon Yoon, Nishant Thakur, Gyoyeon Hwang, Eun Jung Lee, Chulhong Kim, and Yosep Chong · 2021
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Feature attention network for simultaneous nuclei instance segmentation and classification in histology images
G Murtaza Dogar, Muhammad Moazam Fraz, and Sajid Javed · 2021
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Roto-translation equivariant convolutional networks: Application to histopathology image analysis
Maxime W Lafarge, Erik J Bekkers, Josien PW Pluim, Remco Duits, and Mitko Veta · 2021
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Reducing annotation effort in digital pathology: A co-representation learning framework for classification tasks
Pushpak Pati, Antonio Foncubierta-Rodríguez, Orcun Goksel, and Maria Gabrani · 2021
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Histocartography: A toolkit for graph analytics in digital pathology
Guillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, and Maria Gabrani · 2021
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Spatially constrained context-aware hierarchical deep correlation filters for nucleus detection in histology images
Sajid Javed, Arif Mahmood, Jorge Dias, Naoufel Werghi, and Nasir Rajpoot · 2021
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Mutual-complementing framework for nuclei detection and segmentation in pathology image
Zunlei Feng, Zhonghua Wang, Xinchao Wang, Yining Mao, Thomas Li, Jie Lei, Yuexuan Wang, and Mingli Song · 2021
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Predictive models of response to neoadjuvant chemotherapy in muscle-invasive bladder cancer using nuclear morphology and tissue architecture
Haoyang Mi, Trinity J Bivalacqua, Max Kates, Roland Seiler, Peter C Black, Aleksander S Popel, and Alexander S Baras · 2021
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Detection of mitotic cells in breast cancer histopathological images using deep versus handcrafted features
I Onur Sigirci, Abdulkadir Albayrak, and Gokhan Bilgin · 2021
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Harnessing multimodal data integration to advance precision oncology
Kevin M Boehm, Pegah Khosravi, Rami Vanguri, Jianjiong Gao, and Sohrab P Shah · 2021
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Gpdbn: deep bilinear network integrating both genomic data and pathological images for breast cancer prognosis prediction
Zhiqin Wang, Ruiqing Li, Minghui Wang, and Ao Li · 2021
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Event-based pathology data prioritisation: a study using multi-variate time series classification
Jing Qi, Girvan Burnside, Paul Charnley, and Frans Coenen · 2021
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Pathologygan: Learning deep representations of cancer tissue
Adalberto Claudio Quiros, Roderick Murray-Smith, and Ke Yuan · 2021
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Ai-based pathology predicts origins for cancers of unknown primary
Ming Y Lu, Tiffany Y Chen, Drew FK Williamson, Melissa Zhao, Maha Shady, Jana Lipkova, and Faisal Mahmood · 2021
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A quadtree image representation for computational pathology
Robert Jewsbury, Abhir Bhalerao, and Nasir M Rajpoot · 2021
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Fine-tuning and training of densenet for histopathology image representation using tcga diagnostic slides
Abtin Riasatian, Morteza Babaie, Danial Maleki, Shivam Kalra, Mojtaba Valipour, Sobhan Hemati, Manit Zaveri, Amir Safarpoor, Sobhan Shafiei, Mehdi Afshari, et al · 2021
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Deep multiple-instance learning for abnormal cell detection in cervical histopathology images
Anabik Pal, Zhiyun Xue, Kanan Desai, Adekunbiola Aina F Banjo, Clement Akinfolarin Adepiti, L Rodney Long, Mark Schiffman, and Sameer Antani · 2021
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Biomarker-based classification and localization of renal lesions using learned representations of histology—a machine learning approach to histopathology
Christophe AC Freyre, Stephan Spiegel, Caroline Gubser Keller, Marc Vandemeulebroecke, Holger Hoefling, Valerie Dubost, Emre Cörek, Pierre Moulin, and Imtiaz Hossain · 2021
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Multi-scale task multiple instance learning for the classification of digital pathology images with global annotations
Niccolò Marini, Sebastian Otálora, Francesco Ciompi, Gianmaria Silvello, Stefano Marchesin, Simona Vatrano, Genziana Buttafuoco, Manfredo Atzori, and Henning Müller · 2021
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Detecting genetic alterations in braf and ntrk as oncogenic drivers in digital pathology images: towards model generalization within and across multiple thyroid cohorts
Johannes Höhne, Jacob de Zoete, Arndt A Schmitz, Tricia Bal, Emmanuelle di Tomaso, and Matthias Lenga · 2021
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Weakly supervised learning on unannotated h&e-stained slides predicts braf mutation in thyroid cancer with high accuracy
Deepak Anand, Kumar Yashashwi, Neeraj Kumar, Swapnil Rane, Peter H Gann, and Amit Sethi · 2021
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Transmil: Transformer based correlated multiple instance learning for whole slide image classification
Zhuchen Shao, Hao Bian, Yang Chen, Yifeng Wang, Jian Zhang, Xiangyang Ji, et al · 2021
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Unsupervised representation learning from pathology images with multi-directional contrastive predictive coding
Jacob Carse, Frank Carey, and Stephen McKenna · 2021
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Albrt: Cellular composition prediction in routine histology images
Muhammad Dawood, Kim Branson, Nasir M Rajpoot, and Fayyaz Minhas · 2021
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Nuc2vec: Learning representations of nuclei in histopathology images with contrastive loss
Chao Feng, Chad Vanderbilt, and Thomas Fuchs · 2021
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Probeable darts with application to computational pathology
Sheyang Tang, Mahdi S Hosseini, Lina Chen, Sonal Varma, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N Plataniotis, and Zhou Wang · 2021
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Neuroevolution in deep neural networks: Current trends and future challenges
Edgar Galván and Peter Mooney · 2021
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A survey on evolutionary neural architecture search
Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang, Gary G Yen, and Kay Chen Tan · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Unity perception: Generate synthetic data for computer vision
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Isaac gym: High performance gpu-based physics simulation for robot learning
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Deep learning for anomaly detection: A review
Guansong Pang, Chunhua Shen, Longbing Cao, and Anton Van Den Hengel · 2021
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Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
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Impact of dataset size on classification performance: an empirical evaluation in the medical domain
Alhanoof Althnian, Duaa AlSaeed, Heyam Al-Baity, Amani Samha, Alanoud Bin Dris, Najla Alzakari, Afnan Abou Elwafa, and Heba Kurdi · 2021
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A survey on multi-task learning
Yu Zhang and Qiang Yang · 2021
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Advances and open problems in federated learning
Peter Kairouz, H Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, et al · 2021
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Integrated digital pathology at scale: A solution for clinical diagnostics and cancer research at a large academic medical center
Peter J Schüffler, Luke Geneslaw, D Vijay K Yarlagadda, Matthew G Hanna, Jennifer Samboy, Evangelos Stamelos, Chad Vanderbilt, John Philip, Marc-Henri Jean, Lorraine Corsale, et al · 2021
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A pathology deep learning system capable of triage of melanoma specimens utilizing dermatopathologist consensus as ground truth
Sivaramakrishnan Sankarapandian, Saul Kohn, Vaughn Spurrier, Sean Grullon, Rajath E Soans, Kameswari D Ayyagari, Ramachandra V Chamarthi, Kiran Motaparthi, Jason B Lee, Wonwoo Shon, et al · 2021
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Analysis of frozen section compared to permanent section: a 2 year study in a single teritiary care hospital
Sudha Ayyagari, Anusha Potnuru, Sk Aamer Saleem, and Pavani Marapaka · 2021
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Hard-boundary attention network for nuclei instance segmentation
Yalu Cheng, Pengchong Qiao, Hongliang He, Guoli Song, and Jie Chen · 2021
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Handling uncertainty using features from pathology: opportunities in primary care data for developing high risk cancer survival methods
Goce Ristanoski, Jon Emery, Javiera Martinez Gutierrez, Damien McCarthy, and Uwe Aickelin · 2021
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Hybrid aggregation network for survival analysis from whole slide histopathological images
Jia-Ren Chang, Ching-Yi Lee, Chi-Chung Chen, Joachim Reischl, Talha Qaiser, and Chao-Yuan Yeh · 2021
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Deep learning-based predictive biomarker of pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer
Fengling Li, Yongquan Yang, Yani Wei, Ping He, Jie Chen, Zhongxi Zheng, and Hong Bu · 2021
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Predicting response to immunotherapy using computer extracted features of cancer nuclei from hematoxylin and eosin (hande) stained images of non-small cell lung cancer (nsclc), July 6 2021
Anant Madabhushi, Xiangxue Wang, Cristian Barrera, and Vamsidhar Velcheti · 2021
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End-to-end deep learning for detecting metastatic breast cancer in axillary lymph node from digital pathology images
Turki Turki, Anmar Al-Sharif, and Yh Taguchi · 2021
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Processing tissue micro-array images using machine learning techniques as preparation for determining gleason grade of prostate cancer
Zihan Xiong, Yixuan Zheng, and Jiayue Qiu · 2021
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