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Artificial intelligence for diagnosis and Gleason grading of prostate cancer: The PANDA challenge
Bulten, Wouter; Kartasalo, Kimmo; Chen, Po-Hsuan Cameron; Ström, Peter; Pinckaers, Hans; Nagpal, Kunal; Cai, Yuannan; Steiner, David F.; van Boven, Hester; Vink, Robert; Hulsbergen-van de Kaa, Christina; van der Laak, Jeroen; Amin, Mahul B.; Evans, Andrew J.; van der Kwast, Theodorus; Allan, Robert; Humphrey, Peter A.; Grönberg, Henrik; Samaratunga, Hemamali; Delahunt, Brett; Tsuzuki, Toyonori; Häkkinen, Tomi; Egevad, Lars; Demkin, Maggie; Dane, Sohier; Tan, Fraser; Valkonen, Masi; Corrado, Greg S.; Peng, Lily; Mermel, Craig H.; Ruusuvuori, Pekka; Litjens, Geert; Eklund, Martin; Brilhante, Américo; Çakır, Aslı; Farré, Xavier; Geronatsiou, Katerina; Molinié, Vincent; Pereira, Guilherme; Roy, Paromita; Saile, Günter; Salles, Paulo G. O.; Schaafsma, Ewout; Tschui, Joëlle; Billoch-Lima, Jorge; Pereira, Emíio M.; Zhou, Ming; He, Shujun; Song, Sejun; Sun, Qing; Yoshihara, Hiroshi; Yamaguchi, Taiki; Ono, Kosaku; Shen, Tao; Ji, Jianyi; Roussel, Arnaud; Zhou, Kairong; Chai, Tianrui; Weng, Nina; Grechka, Dmitry (Nature Research, 2022)Through a community-driven competition, the PANDA challenge provides a curated diverse dataset and a catalog of models for prostate cancer pathology, and represents a blueprint for evaluating AI algorithms in digital ...