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

Muti, Hannah Sophie; Grosser, Bianca; Heij, Lara Rosaline; Irvine, Andrew J.; Oshima, Takashi; Nankivell, Matthew G.; Quirke, Philip; Gaisa, Nadine Therese; Yoshikawa, Takaki; Trautwein, Christian; Allum, William H.; Jäger, Dirk; Kim, Hyunki; Roviello, Franco; Langley, Ruth E.; Dislich, Bastian; West, Nicholas P.; Quaas, Alexander; Pearson, Alexander T.; Keller, Gisela; Ebert, Matthias P.; Kim, Young-Woo; Tan, Xiuxiang; Luedde, Tom; Huss, Ralf; Kook, Myeong-Cherl; Cunningham, David; Langer, Rupert; Hayden, Jeremy D.; Kohlruss, Meike; Grabsch, Heike I.; Kather, Jakob Nikolas; d'Ignazio, Alessia; Cheong, Jae-Ho; Alakus, Hakan

doi:eva468880

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

Muti, Hannah Sophie ; Heij, Lara Rosaline ; Keller, Gisela ; Kohlruss, Meike ; Langer, Rupert ; Dislich, Bastian ; Cheong, Jae-Ho ; Kim, Young-Woo ; Kim, Hyunki ; Kook, Myeong-Cherl ; Cunningham, David ; Allum, William H. ; Langley, Ruth E. ; Nankivell, Matthew G. ; Quirke, Philip ; Hayden, Jeremy D. ; West, Nicholas P. ; Irvine, Andrew J. ; Yoshikawa, Takaki ; Oshima, Takashi ; Huss, Ralf ; Grosser, Bianca ; Roviello, Franco ; d'Ignazio, Alessia ; Quaas, Alexander ; Alakus, Hakan ; Tan, Xiuxiang ; Pearson, Alexander T. ; Luedde, Tom ; Ebert, Matthias P. ; Jäger, Dirk ; Trautwein, Christian ; Gaisa, Nadine Therese ; Grabsch, Heike I. ; Kather, Jakob Nikolas (Corresponding author)

In
The lancet / Digital health 3(10), Seiten/Artikel-Nr.:e654-e664

2021

ImpressumLondon : The Lancet

ISSN2589-7500

Online
DOI: 10.1016/S2589-7500(21)00133-3
10.1016/S2589-7500(21)00133-3
DOI: 10.18154/RWTH-CONV-247332
URL: https://publications.rwth-aachen.de/record/845917/files/845917.pdf

Einrichtungen

Projekte

SFB 1382 - SFB 1382: Die Darm-Leber-Achse - Funktionelle Zusammenhänge und therapeutische Strategien (403224013) (403224013)

OpenAccess:
PDF

Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85116012388
WOS Core Collection: WOS:000704394700010
PubMed: pmid:34417147

Interne Identnummern
RWTH-CONV-247332
Datensatz-ID: 845917

Beteiligte Länder
Austria, Germany, Italy, Japan, Netherlands, South Korea, Switzerland, UK, USA

Related:

Dissertation / PhD Thesis Muti, H. S.RWTH* ; Kather, J. N. (Thesis advisor) ; Truhn, D. (Thesis advisor)RWTH*
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer : a retrospective multicentre cohort study
Aachen Seite e654-e664, 15 Seiten : Illustrationen (2023)2023 = Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2023 BibTeX | EndNote: XML, Text | RIS

;

;

;

; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; DOAJ Seal ; Emerging Sources Citation Index ; Essential Science Indicators ; Fees ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection