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Segment Anything Model (SAM) has achieved impressive results for natural image segmentation with input prompts such as points and bounding boxes.
Development of a digital image database for chest radiographs with and without a lung nodule
Shiraishi, Junji, Katsuragawa, Shigehiko, Ikezoe, Junpei, Matsumoto, Tsuneo, Kobayashi, and Takeshi and · 2000
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Evaluation of three-dimensional finite element-based deformable registration of pre-and intraoperative prostate imaging
Aditya Bharatha, Masanori Hirose, Nobuhiko Hata, Simon K Warfield, Matthieu Ferrant, Kelly H Zou, Eduardo Suarez-Santana, Juan Ruiz-Alzola, Anthony D’amico, Robert A Cormack, et al · 2001
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3d segmentation in the clinic: A grand challenge
Bram Van Ginneken, Tobias Heimann, and Martin Styner · 2007
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Ms lesion segmentation challenge 2008
Martin Styner, Simon Warfield, Wiro Niessen, Theo van Walsum, Coert Metz, Michiel Schaap, Xiang Deng, Tobias Heimann, and Bram van Ginneken · 2008
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Comparison and evaluation of methods for liver segmentation from ct datasets
Tobias Heimann, Bram Van Ginneken, Martin A Styner, Yulia Arzhaeva, Volker Aurich, Christian Bauer, Andreas Beck, Christoph Becker, Reinhard Beichel, György Bekes, et al · 2009
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Rim-one: An open retinal image database for optic nerve evaluation
F. Fumero, S. Alayon, J. L. Sanchez, J. Sigut, and M. Gonzalez-Hernandez · 2011
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Laparoscopic partial nephrectomy with segmental renal artery clamping: Technique and clinical outcomes
Pengfei Shao, Chao Qin, Changjun Yin, Xiaoxin Meng, Xiaobing Ju, Jie Li, Qiang Lv, Wei Zhang, and Zhengquan Xu · 2011
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Clavicle segmentation in chest radiographs
Laurens Hogeweg, Clara I Sánchez, Pim A de Jong, Pragnya Maduskar, and Bram van Ginneken · 2012
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Web data commons-extracting structured data from two large web corpora
Hannes Mühleisen and Christian Bizer · 2012
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Precise segmental renal artery clamping under the guidance of dual-source computed tomography angiography during laparoscopic partial nephrectomy
Pengfei Shao, Lijun Tang, Pu Li, Yi Xu, Chao Qin, Qiang Cao, Xiaobing Ju, Xiaoxin Meng, Qiang Lv, Jie Li, Wei Zhang, and Changjun Yin · 2012
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Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration
Sema Candemir, Stefan Jaeger, Kannappan Palaniappan, Jonathan P Musco, Rahul K Singh, Zhiyun Xue, Alexandros Karargyris, Sameer Antani, George Thoma, and Clement J McDonald · 2013
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Automatic tuberculosis screening using chest radiographs
Stefan Jaeger, Alexandros Karargyris, Sema Candemir, Les Folio, Jenifer Siegelman, Fiona Callaghan, Zhiyun Xue, Kannappan Palaniappan, Rahul K Singh, Sameer Antani, et al · 2013
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The virtual skeleton database: An open access repository for biomedical research and collaboration
Michael Kistler, Serena Bonaretti, Marcel Pfahrer, Roman Niklaus, and Philippe Büchler · 2013
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Ph 2-a dermoscopic image database for research and benchmarking
Teresa Mendonça, Pedro M Ferreira, Jorge S Marques, André RS Marcal, and Jorge Rozeira · 2013
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Evaluation of prostate segmentation algorithms for mri: the promise12 challenge
Geert Litjens, Robert Toth, Wendy Van De Ven, Caroline Hoeks, Sjoerd Kerkstra, Bram Van Ginneken, Graham Vincent, Gwenael Guillard, Neil Birbeck, Jindang Zhang, et al · 2014
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The multimodal brain tumor image segmentation benchmark (brats)
Bjoern H Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, et al · 2014
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Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the vessel12 study
Rina D Rudyanto, Sjoerd Kerkstra, Eva M Van Rikxoort, Catalin Fetita, Pierre-Yves Brillet, Christophe Lefevre, Wenzhe Xue, Xiangjun Zhu, Jianming Liang, Ilkay Öksüz, et al · 2014
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Drishti-gs: Retinal image dataset for optic nerve head (onh) segmentation
Jayanthi Sivaswamy, SR Krishnadas, Gopal Datt Joshi, Madhulika Jain, and A Ujjwaft Syed Tabish · 2014
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Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians
Jorge Bernal, F Javier Sánchez, Gloria Fernández-Esparrach, Debora Gil, Cristina Rodríguez, and Fernando Vilariño · 2015
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Miccai multi-atlas labeling beyond the cranial vault–workshop and challenge
Bennett Landman, Zhoubing Xu, J Igelsias, Martin Styner, T Langerak, and Arno Klein · 2015
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Dbpedia–a large-scale, multilingual knowledge base extracted from wikipedia
Jens Lehmann, Robert Isele, Max Jakob, Anja Jentzsch, Dimitris Kontokostas, Pablo N Mendes, Sebastian Hellmann, Mohamed Morsey, Patrick Van Kleef, Sören Auer, et al · 2015
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An improved joint optimization of multiple level set functions for the segmentation of overlapping cervical cells
Zhi Lu, Gustavo Carneiro, and Andrew P. Bradley · 2015
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Mrbrains challenge: online evaluation framework for brain image segmentation in 3t mri scans
Adriënne M Mendrik, Koen L Vincken, Hugo J Kuijf, Marcel Breeuwer, Willem H Bouvy, Jeroen De Bresser, Amir Alansary, Marleen De Bruijne, Aaron Carass, Ayman El-Baz, et al · 2015
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Interactive whole-heart segmentation in congenital heart disease
Danielle F Pace, Adrian V Dalca, Tal Geva, Andrew J Powell, Mehdi H Moghari, and Polina Golland · 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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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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A comprehensive retinal image dataset for the assessment of glaucoma from the optic nerve head analysis
Jayanthi Sivaswamy, S Krishnadas, Arunava Chakravarty, G Joshi, A Syed Tabish, et al · 2015
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Benchmark for algorithms segmenting the left atrium from 3d ct and mri datasets
Catalina Tobon-Gomez, Arjan J Geers, Jochen Peters, Jürgen Weese, Karen Pinto, Rashed Karim, Mohammed Ammar, Abdelaziz Daoudi, Jan Margeta, Zulma Sandoval, et al · 2015
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A benchmarking tool to evaluate computer tomography perfusion infarct core predictions against a dwi standard
Carlo W Cereda, Søren Christensen, Bruce CV Campbell, Nishant K Mishra, Michael Mlynash, Christopher Levi, Matus Straka, Max Wintermark, Roland Bammer, Gregory W Albers, et al · 2016
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The importance of skip connections in biomedical image segmentation
Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, and Chris Pal · 2016
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Skin lesion analysis toward melanoma detection: A challenge at the international symposium on biomedical imaging (isbi) 2016, hosted by the international skin imaging collaboration (isic), 2016
David Gutman, Noel C. F. Codella, Emre Celebi, Brian Helba, Michael Marchetti, Nabin Mishra, and Allan Halpern · 2016
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Ultrasound nerve segmentation
Anna Montoya, Hasnin, kaggle446, shirzad, Will Cukierski, and yffud · 2016
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Multi-scale patch and multi-modality atlases for whole heart segmentation of mri
Xiahai Zhuang and Juan Shen · 2016
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Advancing the cancer genome atlas glioma mri collections with expert segmentation labels and radiomic features
Spyridon Bakas, Hamed Akbari, Aristeidis Sotiras, Michel Bilello, Martin Rozycki, Justin S Kirby, John B Freymann, Keyvan Farahani, and Christos Davatzikos · 2017
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Comparative validation of polyp detection methods in video colonoscopy: results from the miccai 2015 endoscopic vision challenge
Jorge Bernal, Nima Tajkbaksh, Francisco Javier Sanchez, Bogdan J Matuszewski, Hao Chen, Lequan Yu, Quentin Angermann, Olivier Romain, Bjørn Rustad, Ilangko Balasingham, et al · 2017
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Longitudinal multiple sclerosis lesion segmentation: Resource and challenge
Aaron Carass, Snehashis Roy, Amod Jog, Jennifer L. Cuzzocreo, Elizabeth Magrath, Adrian Gherman, Julia Button, James Nguyen, Ferran Prados, and Carole H. Sudre · 2017
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Evaluation of three algorithms for the segmentation of overlapping cervical cells
Zhi Lu, Gustavo Carneiro, Andrew P. Bradley, Daniela Ushizima, Masoud S. Nosrati, Andrea G. C. Bianchi, Claudia M. Carneiro, and Ghassan Hamarneh · 2017
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Isles 2015-a public evaluation benchmark for ischemic stroke lesion segmentation from multispectral mri
Oskar Maier, Bjoern H Menze, Janina Von der Gablentz, Levin Häni, Mattias P Heinrich, Matthias Liebrand, Stefan Winzeck, Abdul Basit, Paul Bentley, Liang Chen, et al · 2017
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Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the luna16 challenge
Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas De Bel, Moira SN Berens, Cas Van Den Bogaard, Piergiorgio Cerello, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts, et al · 2017
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Gland segmentation in colon histology images: The glas challenge contest
Korsuk Sirinukunwattana, Josien PW Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J Matuszewski, Elia Bruni, Urko Sanchez, et al · 2017
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Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: is the problem solved?
Olivier Bernard, Alain Lalande, Clement Zotti, Frederick Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Angel Gonzalez Ballester, et al · 2018
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Skin lesion analysis toward melanoma detection: A challenge at the 2017 international symposium on biomedical imaging (isbi), hosted by the international skin imaging collaboration (isic), 2018
Noel C. F. Codella, David Gutman, M. Emre Celebi, Brian Helba, Michael A. Marchetti, Stephen W. Dusza, Aadi Kalloo, Konstantinos Liopyris, Nabin Mishra, Harald Kittler, and Allan Halpern · 2018
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Joint optic disc and cup segmentation based on multi-label deep network and polar transformation
Huazhu Fu, Jun Cheng, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, and Xiaochun Cao · 2018
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Algorithms for left atrial wall segmentation and thickness–evaluation on an open-source ct and mri image database
Rashed Karim, Lauren-Emma Blake, Jiro Inoue, Qian Tao, Shuman Jia, R James Housden, Pranav Bhagirath, Jean-Luc Duval, Marta Varela, Jonathan M Behar, et al · 2018
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Mrbrains18 — grand challenge on mr brain segmentation at miccai 2018
MRBrainS18 · 2018
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Chest x-ray analysis of tuberculosis by deep learning with segmentation and augmentation
Sergii Stirenko, Yuriy Kochura, Oleg Alienin, Oleksandr Rokovyi, Yuri Gordienko, Peng Gang, and Wei Zeng · 2018
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Isles 2016 and 2017-benchmarking ischemic stroke lesion outcome prediction based on multispectral mri
Stefan Winzeck, Arsany Hakim, Richard McKinley, José AADSR Pinto, Victor Alves, Carlos Silva, Maxim Pisov, Egor Krivov, Mikhail Belyaev, Miguel Monteiro, et al · 2018
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Unet++: A nested u-net architecture for medical image segmentation
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, and Jianming Liang · 2018
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Multivariate mixture model for myocardial segmentation combining multi-source images
Xiahai Zhuang · 2018
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Dataset of breast ultrasound images. data brief 28, 104863 (2020), 2019
Walid Al-Dhabyani, Mohammed Gomaa, Hussien Khaled, and Aly Fahmy · 2019
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2017 robotic instrument segmentation challenge
Max Allan, Alex Shvets, Thomas Kurmann, Zichen Zhang, Rahul Duggal, Yun-Hsuan Su, Nicola Rieke, Iro Laina, Niveditha Kalavakonda, Sebastian Bodenstedt, et al · 2019
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Neural segmentation of seeding rois (srois) for pre-surgical brain tractography
Itzik Avital, Ilya Nelkenbaum, Galia Tsarfaty, Eli Konen, Nahum Kiryati, and Arnaldo Mayer · 2019
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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the brats challenge, 2019
Spyridon Bakas, Mauricio Reyes, Andras Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, and Christoph Berger · 2019
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The liver tumor segmentation benchmark (lits), 2019
Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, and Pheng-Ann Heng · 2019
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Noel Codella, Veronica Rotemberg, Philipp Tschandl, M Emre Celebi, Stephen Dusza, David Gutman, Brian Helba, Aadi Kalloo, Konstantinos Liopyris, Michael Marchetti, et al · 2019
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Nicholas Heller, Niranjan Sathianathen, Arveen Kalapara, Edward Walczak, Keenan Moore, Heather Kaluzniak, Joel Rosenberg, Paul Blake, Zachary Rengel, Makinna Oestreich, et al · 2019
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Structseg2019 grand challenge dataset
Rui Huang, Zijie Chen, Yuanyuan Chen, Hongsheng Li, and etc · 2019
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Palm: Pathologic myopia challenge
F Huazhu, L Fei, and IO José · 2019
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Chaos - combined (ct-mr) healthy abdominal organ segmentation challenge data
Ali Emre Kavur, M. Alper Selver, Oğuz Dicle, Mustafa Barış, and N. Sinem Gezer · 2019
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Standardized assessment of automatic segmentation of white matter hyperintensities and results of the wmh segmentation challenge
Hugo J Kuijf, J Matthijs Biesbroek, Jeroen De Bresser, Rutger Heinen, Simon Andermatt, Mariana Bento, Matt Berseth, Mikhail Belyaev, M Jorge Cardoso, Adria Casamitjana, et al · 2019
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Lndb: A lung nodule database on computed tomography, 2019
João Pedrosa, Guilherme Aresta, Carlos Ferreira, Márcio Rodrigues, Patrícia Leitão, André Silva Carvalho, João Rebelo, Eduardo Negrão, Isabel Ramos, António Cunha, and Aurélio Campilho · 2019
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Zero-shot text-to-image generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever · 2021
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End-to-end prostate cancer detection in bpmri via 3d cnns: effects of attention mechanisms, clinical priori and decoupled false positive reduction
Anindo Saha, Matin Hosseinzadeh, and Henkjan Huisman · 2021
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Verse: a vertebrae labelling and segmentation benchmark for multi-detector ct images
Anjany Sekuboyina, Malek E Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukačka, Christian Payer, Darko Štern, et al · 2021
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Cross-modality brain structures image segmentation for the radiotherapy target definition and plan optimization
Nadya Shusharina, Thomas Bortfeld, Carlos Cardenas, Brian De, Kevin Diao, Soleil Hernandez, Yufei Liu, Sean Maroongroge, Jonas Söderberg, and Moaaz Soliman · 2021
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Multi-site infant brain segmentation algorithms: the iseg-2019 challenge
Yue Sun, Kun Gao, Zhengwang Wu, Guannan Li, Xiaopeng Zong, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, et al · 2021
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The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions (2018)
Philipp Tschandl, Cliff Rosendahl, and Harald Kittler · 2019
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Benchmark on automatic six-month-old infant brain segmentation algorithms: the iseg-2017 challenge
Li Wang, Dong Nie, Guannan Li, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jia-Wei Chen, et al · 2019
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Tencent ml-images: A large-scale multi-label image database for visual representation learning
Baoyuan Wu, Weidong Chen, Yanbo Fan, Yong Zhang, Jinlong Hou, Jie Liu, and Tong Zhang · 2019
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Siim-acr pneumothorax segmentation, 2019
Anna Zawacki, Carol Wu, George Shih, Julia Elliott, Mikhail Fomitchev, Mohannad Hussain, Lakhani Paras, Phil Culliton, and Shunxing Bao · 2019
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Endoscopy disease detection challenge 2020
Sharib Ali, Noha Ghatwary, Barbara Braden, Dominique Lamarque, Adam Bailey, Stefano Realdon, Renato Cannizzaro, Jens Rittscher, Christian Daul, and James East · 2020
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Covid-19 image data collection
Joseph Paul Cohen, Paul Morrison, and Lan Dao · 2020
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A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging
Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas Maier, Xin Yang, et al · 2021
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A coarse-to-fine framework for the 2021 kidney and kidney tumor segmentation challenge
Zhongchen Zhao, Huai Chen, and Lisheng Wang · 2021
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The medical segmentation decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M Summers, et al · 2022
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Carotid vessel wall segmentation and atherosclerosis diagnosis challenge
H. Chen, X. Zhao, J. Dou, C. Du, R. Yang, H. Sun, S. Yu, H. Zhao, C. Yuan, and N. Balu · 2022
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A whole-body fdg-pet/ct dataset with manually annotated tumor lesions
Sergios Gatidis, Tobias Hepp, Marcel Früh, Christian La Fougère, Konstantin Nikolaou, Christina Pfannenberg, Bernhard Schölkopf, Thomas Küstner, Clemens Cyran, and Daniel Rubin · 2022
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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Isles 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset
Moritz R Hernandez Petzsche, Ezequiel de la Rosa, Uta Hanning, Roland Wiest, Waldo Valenzuela, Mauricio Reyes, Maria Meyer, Sook-Lei Liew, Florian Kofler, Ivan Ezhov, et al · 2022
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Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation
Yuanfeng Ji, Haotian Bai, Chongjian GE, Jie Yang, Ye Zhu, Ruimao Zhang, Zhen Li, Lingyan Zhang, Wanling Ma, Xiang Wan, and Ping Luo · 2022
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Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation
Yuanfeng Ji, Haotian Bai, Chongjian Ge, Jie Yang, Ye Zhu, Ruimao Zhang, Zhen Li, Lingyan Zhanng, Wanling Ma, Xiang Wan, et al · 2022
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Deep learning methods for automatic evaluation of delayed enhancement-mri. the results of the emidec challenge
Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, et al · 2022
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Atrialjsqnet: A new framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information
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Medical image analysis on left atrial lge mri for atrial fibrillation studies: A review
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Hematoma expansion context guided intracranial hemorrhage segmentation and uncertainty estimation
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Word: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from ct image
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x x -metric: An n-dimensional information-theoretic framework for groupwise registration and deep combined computing
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X-metric: An n-dimensional information-theoretic framework for groupwise registration and deep combined computing
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Fast and low-gpu-memory abdomen ct organ segmentation: The flare challenge
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Hierarchical text-conditional image generation with clip latents
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Rapid artificial intelligence solutions in a pandemic—the covid-19-20 lung ct lesion segmentation challenge
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braimmri dataset
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The extreme cardiac mri analysis challenge under respiratory motion (cmrxmotion)
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Llama: Open and efficient foundation language models, 2023
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample · 2023
Closest in time.
Seggpt: Segmenting everything in context
Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, and Tiejun Huang · 2023
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Totalsegmentator: Robust segmentation of 104 anatomic structures in ct images
Jakob Wasserthal, Hanns-Christian Breit, Manfred T. Meyer, Maurice Pradella, Daniel Hinck, Alexander W. Sauter, Tobias Heye, Daniel T. Boll, Joshy Cyriac, Shan Yang, Michael Bach, and Martin Segeroth · 2023
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Medical sam adapter: Adapting segment anything model for medical image segmentation
Junde Wu, Rao Fu, Huihui Fang, Yuanpei Liu, Zhaowei Wang, Yanwu Xu, Yueming Jin, and Tal Arbel · 2023
Closest in time.
Medical sam adapter: Adapting segment anything model for medical image segmentation
Junde Wu, Rao Fu, Huihui Fang, Yuanpei Liu, Zhaowei Wang, Yanwu Xu, Yueming Jin, and Tal Arbel · 2023
Closest in time.
Customized segment anything model for medical image segmentation
Kaidong Zhang and Dong Liu · 2023
Closest in time.
Multi-site, multi-domain airway tree modeling
Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, et al · 2023
Closest in time.
Segment everything everywhere all at once
Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Wang, Lijuan Wang, Jianfeng Gao, and Yong Jae Lee · 2023
Closest in time.