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@ARTICLE{Kather:143929,
author = {J. N. Kather$^*$ and A. T. Pearson and N. Halama$^*$ and D.
Jäger$^*$ and J. Krause and S. H. Loosen and A. Marx and P.
Boor and F. Tacke and U. P. Neumann and H. I. Grabsch and T.
Yoshikawa and H. Brenner$^*$ and J. Chang-Claude$^*$ and M.
Hoffmeister$^*$ and C. Trautwein and T. Luedde},
title = {{D}eep learning can predict microsatellite instability
directly from histology in gastrointestinal cancer.},
journal = {Nature medicine},
volume = {25},
number = {7},
issn = {1546-170X},
address = {New York, NY},
publisher = {Nature America Inc.},
reportid = {DKFZ-2019-01487},
pages = {1054-1056},
year = {2019},
abstract = {Deep learning can predict microsatellite instability
directly from histology in gastrointestinal cancer.},
cin = {D120 / D240 / C070 / C120 / C020 / L101},
ddc = {610},
cid = {I:(DE-He78)D120-20160331 / I:(DE-He78)D240-20160331 /
I:(DE-He78)C070-20160331 / I:(DE-He78)C120-20160331 /
I:(DE-He78)C020-20160331 / I:(DE-He78)L101-20160331},
pnm = {314 - Tumor immunology (POF3-314)},
pid = {G:(DE-HGF)POF3-314},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:31160815},
doi = {10.1038/s41591-019-0462-y},
url = {https://inrepo02.dkfz.de/record/143929},
}