Predicting survival from colorectal cancer histology slides using deep learning: a retrospective multicenter study
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| Hauptverfasser: | , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
January 24, 2019
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| In: |
PLoS medicine
Year: 2019, Jahrgang: 16, Heft: 1 |
| ISSN: | 1549-1676 |
| DOI: | 10.1371/journal.pmed.1002730 |
| Online-Zugang: | Verlag, Volltext: https://doi.org/10.1371/journal.pmed.1002730
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| Verfasserangaben: | 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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