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

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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Bibliographic Details
Main Authors: 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: Article
Language:English
Published: Nature Portfolio 2023-09-01
Series:npj Precision Oncology
Online Access:https://doi.org/10.1038/s41698-023-00451-3

Internet

https://doi.org/10.1038/s41698-023-00451-3

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