Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study

H.S. Muti, L.R. Heij, G. Keller, M. Kohlruss, R. Langer, B. Dislich, J.H. Cheong, Y.W. Kim, H. Kim, M.C. Kook, D. Cunningham, W.H. Allum, R.E. Langley, M.G. Nankivell, P. Quirke, J.D. Hayden, N.P. West, A.J. Irvine, T. Yoshikawa, T. OshimaR. Huss, B. Grosser, F. Roviello, A. d'Ignazio, A. Quaas, H. Alakus, X.X. Tan, A.T. Pearson, T. Luedde, M.P. Ebert, D. Jager, C. Trautwein, N.T. Gaisa, H.I. Grabsch, J.N. Kather*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Web of Science)
Original languageEnglish
Pages (from-to)E654-E664
Number of pages11
JournalThe Lancet Digital Health
Volume3
Issue number10
DOIs
Publication statusPublished - 1 Oct 2021

Keywords

  • MICROSATELLITE INSTABILITY
  • GASTRIC-CANCER

Cite this