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This paper presents the challenge report for the 2021 Kidney and Kidney Tumor Segmentation Challenge (KiTS21) held in conjunction with the 2021 international conference on Medical Image Computing and Computer Assisted Interventions (MICCAI).
A simple sequentially rejective multiple test procedure
Sture Holm · 1979
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Radiogenomics of clear-cell renal cell carcinoma: associations between ct imaging features and mutations
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Utilization of renal mass biopsy in patients with renal cell carcinoma
John T Leppert, Janet Hanley, Todd H Wagner, Benjamin I Chung, Sandy Srinivas, Glenn M Chertow, James D Brooks, Christopher S Saigal, Urologic Diseases in America Project, et al · 2014
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Evaluation of prostate segmentation algorithms for mri: the promise12 challenge
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Heterogeneity and renal mass biopsy: a review of its role and reliability
Jeffrey J Tomaszewski, Robert G Uzzo, and Marc C Smaldone · 2014
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The effects of changes in utilization and technological advancements of cross-sectional imaging on radiologist workload
Robert J McDonald, Kara M Schwartz, Laurence J Eckel, Felix E Diehn, Christopher H Hunt, Brian J Bartholmai, Bradley J Erickson, and David F Kallmes · 2015
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Renal cancer
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Chaos challenge-combined (ct-mr) healthy abdominal organ segmentation
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Critical assessment of methods of protein structure prediction (casp)—round xiv
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Common limitations of performance metrics in biomedical image analysis
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Epidemiology of renal cell carcinoma
Umberto Capitanio, Karim Bensalah, Axel Bex, Stephen A Boorjian, Freddie Bray, Jonathan Coleman, John L Gore, Maxine Sun, Christopher Wood, and Paul Russo · 2019
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Methods and open-source toolkit for analyzing and visualizing challenge results
Manuel Wiesenfarth, Annika Reinke, Bennett A Landman, Manuel Jorge Cardoso, Lena Maier-Hein, and Annette Kopp-Schneider · 2019
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Assessing radiology research on artificial intelligence: a brief guide for authors, reviewers, and readers—from the radiology editorial board, 2020
David A Bluemke, Linda Moy, Miriam A Bredella, Birgit B Ertl-Wagner, Kathryn J Fowler, Vicky J Goh, Elkan F Halpern, Christopher P Hess, Mark L Schiebler, and Clifford R Weiss · 2020
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Stability analysis of ct radiomic features with respect to segmentation variation in oropharyngeal cancer
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Common pitfalls and recommendations for grand challenges in medical artificial intelligence
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Renal cancer: overdiagnosis and overtreatment, 2021
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The liver tumor segmentation benchmark (lits)
Patrick Bilic, Patrick Christ, Hongwei Bran Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, et al · 2022
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Sources of bias in artificial intelligence that perpetuate healthcare disparities—a global review
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A coarse-to-fine 3d u-net network for semantic segmentation of kidney ct scans
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An ensemble of 3d u-net based models for segmentation of kidney and masses in ct scans
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Performance of ct radiomics in predicting the overall survival of patients with stage iii clear cell renal carcinoma after radical nephrectomy
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Computer-generated renal nephrometry scores yield comparable predictive results to those of human-expert scores in predicting oncologic and perioperative outcomes
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Fast and low-gpu-memory abdomen ct organ segmentation: The flare challenge
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Labeling instructions matter in biomedical image analysis
Tim Rädsch, Annika Reinke, Vivienn Weru, Minu D Tizabi, Nicholas Schreck, A Emre Kavur, Bünyamin Pekdemir, Tobias Roß, Annette Kopp-Schneider, and Lena Maier-Hein · 2022
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A coarse-to-fine framework for the 2021 kidney and kidney tumor segmentation challenge
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