Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study Article Swipe
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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
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pmed.1002730
· OA: W2914568698
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pmed.1002730
· OA: W2914568698
In our retrospective study, we show that a CNN can assess the human tumor microenvironment and predict prognosis directly from histopathological images.
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