Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer

Kather, JN, Pearson, AT, Halama, N et al. (14 more authors) (2019) Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer. Nature Medicine, 25 (7). pp. 1054-1056. ISSN 1078-8956

Abstract

Metadata

Authors/Creators:
  • Kather, JN
  • Pearson, AT
  • Halama, N
  • Jäger, D
  • Krause, J
  • Loosen, SH
  • Marx, A
  • Boor, P
  • Tacke, F
  • Neumann, UP
  • Grabsch, HI https://orcid.org/0000-0001-9520-6228
  • Yoshikawa, T
  • Brenner, H
  • Chang-Claude, J
  • Hoffmeister, M
  • Trautwein, C
  • Luedde, T
Copyright, Publisher and Additional Information: © 2019, Springer Nature. This is an author produced version of an article published in Nature Medicine. Uploaded in accordance with the publisher's self-archiving policy.
Dates:
  • Published: July 2019
  • Accepted: 19 April 2019
  • Published (online): 3 June 2019
Institution: The University of Leeds
Depositing User: Symplectic Publications
Date Deposited: 17 Dec 2019 13:17
Last Modified: 23 Dec 2019 12:43
Status: Published
Publisher: Nature Research
Identification Number: https://doi.org/10.1038/s41591-019-0462-y
Related URLs:

Share / Export

Statistics