Colorectal cancer risk stratification on histological slides based on survival curves predicted by deep learning

Abstract Studies have shown that colorectal cancer prognosis can be predicted by deep learning-based analysis of histological tissue sections of the primary tumor. So far, this has been achieved using a binary prediction. Survival curves might contain more detailed information and thus enable a more...

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Autors principals:	Julia Höhn, Eva Krieghoff-Henning, Christoph Wies, Lennard Kiehl, Martin J. Hetz, Tabea-Clara Bucher, Jitendra Jonnagaddala, Kurt Zatloukal, Heimo Müller, Markus Plass, Emilian Jungwirth, Timo Gaiser, Matthias Steeg, Tim Holland-Letz, Hermann Brenner, Michael Hoffmeister, Titus J. Brinker
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2023-09-01
Col·lecció:	npj Precision Oncology
Accés en línia:	https://doi.org/10.1038/s41698-023-00451-3
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