Browsing by Author "Vink, Robert"
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Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists
Bulten, Wouter; Balkenhol, Maschenka; Belinga, Jean-Joel Awoumou; Brilhante, Americo; Çakır, Aslı; Egevad, Lars; Eklund, Martin; Farre, Xavier; Geronatsiou, Katerina; Molinie, Vincent; Pereira, Guilherme; Roy, Paromita; Saile, Gunter; Salles, Paulo; Schaafsma, Ewout; Tschui, Joelle; Vos, Anne-Marie; van Boven, Hester; Vink, Robert; van der Laak, Jeroen; Hulsbergen-van der Kaa, Christina; Litjens, Geert (Springer Nature, 2021)The Gleason score is the most important prognostic marker for prostate cancer patients, but it suffers from significant observer variability. Artificial intelligence (AI) systems based on deep learning can achieve ... -
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 ...
