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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},
}