-
Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts
Sarah Volinsky-Fremond, Sonali Andani, Jurriaan Barkey Wolf, Jouke Dijkstra, Sinead Melsbach, Jan J. Jobsen, +18 more
134citations -
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study
Hannah Sophie Muti, Lara Rosaline Heij, Gisela Keller, Meike Kohlruss, Rupert Langer, Bastian Dislich, +29 more
127citations -
End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study2023 The Lancet Digital Health article Computer Science AI in cancer detection Open access cited by 1 patent
Xiaofeng Jiang, Michael Hoffmeister, Hermann Brenner, Hannah Sophie Muti, Tanwei Yuan, Sebastian Foersch, +13 more
108citations
6 results