Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study.

Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study.

BACKGROUND:For virtually every patient with colorectal cancer (CRC), hematoxylin-eosin (HE)-stained tissue slides are available. These images contain quantitative information, which is not routinely used to objectively extract prognostic biomarkers. In the present study, we investigated whether deep...

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Bibliographic Details
Main Authors: Jakob Nikolas Kather, Johannes Krisam, Pornpimol Charoentong, Tom Luedde, Esther Herpel, Cleo-Aron Weis, Timo Gaiser, Alexander Marx, Nektarios A Valous, Dyke Ferber, Lina Jansen, Constantino Carlos Reyes-Aldasoro, Inka Zörnig, Dirk Jäger, Hermann Brenner, Jenny Chang-Claude, Michael Hoffmeister, Niels Halama
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS Medicine
Online Access:https://doi.org/10.1371/journal.pmed.1002730

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https://doi.org/10.1371/journal.pmed.1002730

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