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

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Main Authors: Kather, Jakob Nikolas (Author) , Krisam, Johannes (Author) , Charoentong, Pornpimol (Author) , Herpel, Esther (Author) , Weis, Cleo-Aron Thias (Author) , Gaiser, Timo (Author) , Marx, Alexander (Author) , Valous, Nektarios A. (Author) , Ferber, Dyke (Author) , Zörnig, Inka (Author) , Jäger, Dirk (Author) , Brenner, Hermann (Author) , Chang-Claude, Jenny (Author) , Hoffmeister, Michael (Author) , Halama, Niels (Author)
Format: Article (Journal)
Language:English
Published: January 24, 2019
In: PLoS medicine
Year: 2019, Volume: 16, Issue: 1
ISSN:1549-1676
DOI:10.1371/journal.pmed.1002730
Online Access:Verlag, Volltext: https://doi.org/10.1371/journal.pmed.1002730
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Author Notes: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
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Item Description:Gesehen am 27.03.2019
Physical Description:Online Resource
ISSN:1549-1676
DOI:10.1371/journal.pmed.1002730

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