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Cancers identified in CT scans are usually accompanied by detailed radiology reports, but publicly available CT datasets often lack these essential reports.
Le foie: études anatomiques et chirurgicales
Claude Couinaud · 1957
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Reporting results of cancer treatment
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Ct of acquired abnormalities of the spleen
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
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Comparison of ct methods for determining the fat content of the liver
Yoshihisa Kodama, Chaan S Ng, Tsung T Wu, Gregory D Ayers, Steven A Curley, Eddie K Abdalla, Jean Nicolas Vauthey, and Chusilp Charnsangavej · 2007
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Pancreatic ductal adenocarcinoma radiology reporting template: consensus statement of the society of abdominal radiology and the american pancreatic association
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Diagnostic strategies for early pancreatic cancer
Keiji Hanada, Akihito Okazaki, Naomichi Hirano, Yoshihiro Izumi, Yuji Teraoka, Juri Ikemoto, Kozue Kanemitsu, Fumiaki Hino, Toshikatsu Fukuda, and Shuji Yonehara · 2015
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Miccai multi-atlas labeling beyond the cranial vault–workshop and challenge
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Evaluation of tumor volume as a response metric in clinical trials and patient management
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Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation
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The role of tumor volume in assessing treatment response in cancer imaging
H.C. Woodruff and et al · 2015
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Ct density in the pancreas is a promising imaging predictor for pancreatic ductal adenocarcinoma
Yasunari Fukuda, Daisaku Yamada, Hidetoshi Eguchi, Tomoki Hata, Yoshifumi Iwagami, Takehiro Noda, Tadafumi Asaoka, Koichi Kawamoto, Kunihito Gotoh, Shogo Kobayashi, et al · 2017
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Reduced pancreatic volume in type 1 diabetes
Matthew Macauley, Sheena Gorman, Raymond M Greer, Ian Lipton, John McMahon, Fergus Cameron, Denny Cuthbertson, Peter Colman, Thomas W Jones, and Elizabeth A Davis · 2017
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Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases
Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, and Ronald M Summers · 2017
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Thresholds for low and high kidney volume in adult men and women
Erin S. Kilpatrick and colleagues · 2018
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Ct imaging characteristics of the pancreas: Normal and abnormal findings
Shigeru Kondoh and colleagues · 2018
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Imaging for the diagnosis of hepatocellular carcinoma: a systematic review and meta-analysis
Lewis R Roberts, Claude B Sirlin, Feras Zaiem, Jehad Almasri, Larry J Prokop, Julie K Heimbach, M Hassan Murad, and Khaled Mohammed · 2018
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Multi-modal learning from unpaired images: Application to multi-organ segmentation in ct and mri
Vanya V Valindria, Nick Pawlowski, Martin Rajchl, Ioannis Lavdas, Eric O Aboagye, Andrea G Rockall, Daniel Rueckert, and Ben Glocker · 2018
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The liver tumor segmentation benchmark (lits)
Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, et al · 2019
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Volumetric versus linear measurements in lung cancer prognosis
Z. Cao and 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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Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, et al · 2019
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Outcome of head compared to body and tail pancreatic cancer: a systematic review and meta-analysis of 93 studies
Gianluca Tomasello, Michele Ghidini, Antonio Costanzo, Antonio Ghidini, Alessandro Russo, Sandro Barni, Rodolfo Passalacqua, and Fausto Petrelli · 2019
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An international challenge to use artificial intelligence to define the state-of-the-art in kidney and kidney tumor segmentation in ct imaging., 2020
Nicholas Heller, Sean McSweeney, Matthew Thomas Peterson, Sarah Peterson, Jack Rickman, Bethany Stai, Resha Tejpaul, Makinna Oestreich, Paul Blake, Joel Rosenberg, et al · 2020
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Large-scale pancreatic cancer detection via non-contrast ct and deep learning
Kai Cao, Yingda Xia, Jiawen Yao, Xu Han, Lukas Lambert, Tingting Zhang, Wei Tang, Gang Jin, Hui Jiang, Xu Fang, et al · 2023
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Cancerunit: Towards a single unified model for effective detection, segmentation, and diagnosis of eight major cancers using a large collection of ct scans
Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, et al · 2023
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Rsna 2023 abdominal trauma detection
Errol Colak, Hui-Ming Lin, Robyn Ball, Melissa Davis, Adam Flanders, Sabeena Jalal, Kirti Magudia, Brett Marinelli, Savvas Nicolaou, Luciano Prevedello, Jeff Rudie, George Shih, Maryam Vazirabad, and John Mongan · 2023
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Maira-1: A specialised large multimodal model for radiology report generation
Stephanie L Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C Castro, Mercy Ranjit, Anton Schwaighofer, Fernando Pérez-García, Valentina Salvatelli, Shaury Srivastav, Anja Thieme, et al · 2023
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Automated ct biomarkers for opportunistic prediction of future cardiovascular events and mortality in an asymptomatic screening population: a retrospective cohort study
Perry J Pickhardt, Peter M Graffy, Ryan Zea, Scott J Lee, Jiamin Liu, Veit Sandfort, and Ronald M Summers · 2020
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Ct-org, a new dataset for multiple organ segmentation in computed tomography
Blaine Rister, Darvin Yi, Kaushik Shivakumar, Tomomi Nobashi, and Daniel L Rubin · 2020
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Developments in x-ray contrast media and the potential impact on computed tomography
Laura Schöckel, Gregor Jost, Peter Seidensticker, Philipp Lengsfeld, Petra Palkowitsch, and Hubertus Pietsch · 2020
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The medical segmentation decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Bennett A Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M Summers, Bram van Ginneken, et al · 2021
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Abdominal Imaging: Case Review Series
Manjiri Dighe, Joseph R Grajo, and Leslie Lee · 2021
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nnu-net: a self-configuring method for deep learning-based biomedical image segmentation
Fabian Isensee, Paul F Jaeger, Simon AA Kohl, Jens Petersen, and Klaus H Maier-Hein · 2021
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Word: Revisiting organs segmentation in the whole abdominal region
Xiangde Luo, Wenjun Liao, Jianghong Xiao, Tao Song, Xiaofan Zhang, Kang Li, Guotai Wang, and Shaoting Zhang · 2021
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Abdomenct-1k: Is abdominal organ segmentation a solved problem
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Shawn Xu, Lin Yang, Christopher Kelly, Marcin Sieniek, Timo Kohlberger, Martin Ma, Wei-Hung Weng, Atilla Kiraly, Sahar Kazemzadeh, Zakkai Melamed, et al · 2023
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M3d: Advancing 3d medical image analysis with multi-modal large language models
Fan Bai, Yuxin Du, Tiejun Huang, Max Q-H Meng, and Bo Zhao · 2024
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Maira-2: Grounded radiology report generation
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Merlin: A vision language foundation model for 3d computed tomography
Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Reis, Cesar Truyts, et al · 2024
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Medimageinsight: An open-source embedding model for general domain medical imaging
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Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography
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Capabilities of gemini models in medicine
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Medsyn: Text-guided anatomy-aware synthesis of high-fidelity 3d ct images
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Scalemai: Accelerating the development of trusted datasets and ai models
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