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

Hannah Sophie Muti(Fresenius (Germany)), Jakob Nikolas Kather(Heidelberg University), Bastian Dislich(University of Bern), Dirk Jäger(German Cancer Research Center), Christian Trautwein(TUM Klinikum), Lara R. Heij(Maastricht University), Ralf Huss(University Hospital Augsburg), William Allum(Royal Marsden Hospital), Ruth E. Langley(MRC Clinical Trials Unit at UCL), Heike I. Grabsch(University of Leeds), Myeong‐Cherl Kook(National Cancer Center), Matthias Ebert(University of Mannheim), Hyunki Kim(Yonsei University), Alexander T. Pearson(University of Chicago), Takaki Yoshikawa(Tokyo National Hospital), Hakan Alakus(University Hospital Cologne), Nicholas P. West(Johannes Gutenberg University Mainz), Alexander Quaas(University Medical Center Hamburg-Eppendorf), Franco Roviello(University of Siena), Jeremy D. Hayden(St James's University Hospital), Philip Quirke(University of Leeds), David Cunningham(Royal Marsden NHS Foundation Trust), Matthew Nankivell(MRC Clinical Trials Unit at UCL), Bianca Grosser(Technische Hochschule Augsburg), Meike Kohlruss(Technical University of Munich), Nadine T. Gaisa(RWTH Aachen University), Xiuxiang Tan(Maastricht University), Gisela Keller(Technical University of Munich), Alessia D’Ignazio(University of Siena), Takashi Oshima(Kanagawa Prefectural Hospital Organization), Rupert Langer(Johannes Kepler University of Linz), Young‐Woo Kim(Seoul National University Hospital), Jae‐Ho Cheong(Yonsei University), Andrew J. Irvine(University of Leeds), Tom Luedde(Heinrich Heine University Düsseldorf)
The Lancet Digital Health
August 17, 2021
Cited by 120


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