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End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study
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In
The lancet / Digital health 6(1), Seiten/Artikel-Nr.:e33-e43
2024 & 2023
Available online 18 December 2023
Online
DOI: 10.1016/S2589-7500(23)00208-X
DOI: 10.18154/RWTH-CONV-252762
URL: https://publications.rwth-aachen.de/record/982685/files/982685.pdf
Einrichtungen
OpenAccess: 
PDF
Dokumenttyp
Journal Article
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85180408099
WOS Core Collection: WOS:001139460500001
PubMed: pmid:38123254
OpenAlex: W4389924824
Interne Identnummern
RWTH-CONV-252762
Datensatz-ID: 982685
Beteiligte Länder
Australia, Germany, Netherlands, Peoples R China, UK
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The record appears in these collections: |
PDF