The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge

2 Dec 2019Nicholas HellerFabian IsenseeKlaus H. Maier-HeinXiaoshuai HouChunmei XieFengyi LiYang NanGuangrui MuZhiyong LinMiofei HanGuang YaoYaozong GaoYao ZhangYixin WangFeng HouJiawei YangGuangwei XiongJiang TianCheng ZhongJun MaJack RickmanJoshua DeanBethany StaiResha TejpaulMakinna OestreichPaul BlakeHeather KaluzniakShaneabbas RazaJoel RosenbergKeenan MooreEdward WalczakZachary RengelZach EdgertonRanveer VasdevMatthew PetersonSean McSweeneySarah PetersonArveen KalaparaNiranjan SathianathenNikolaos PapanikolopoulosChristopher Weight

There is a large body of literature linking anatomic and geometric characteristics of kidney tumors to perioperative and oncologic outcomes. Semantic segmentation of these tumors and their host kidneys is a promising tool for quantitatively characterizing these lesions, but its adoption is limited due to the manual effort required to produce high-quality 3D segmentations of these structures... (read more)

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