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Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology

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In
npj precision oncology 7(1), Seiten/Artikel-Nr.:35

Impressum[London] : Springer Nature

Umfang[1]-5

ISSN2397-768X

Online
DOI: 10.1038/s41698-023-00365-0


Einrichtungen

  1. Lehrstuhl für Informatik 9 (Process and Data Science) (122510)
  2. Fachgruppe Informatik (120000)


Thematische Einordnung (Klassifikation)
DDC: 610


Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85151395115
WOS Core Collection: WOS:000961980300001
PubMed: pmid:36977919

Interne Identnummern
RWTH-2023-10114
Datensatz-ID: 972343

Beteiligte Länder
Germany, UK, USA

 GO


Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Dissertation / PhD Thesis  ;  ;
Decentralized artificial intelligence in cancer histopathology: using swarm learning to enhance molecular biomarker prediction
Aachen 1 Band (verschiedene Seitenzählungen) : Illustrationen, Diagramme () = Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2023, Kumulative Dissertation  GO BibTeX | EndNote: XML, Text | RIS


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The record appears in these collections:
Document types > Articles > Journal Articles
Faculty of Mathematics, Computer Science and Natural Sciences (Fac.1) > Department of Computer Science
Public records
Publications database
122510
120000

 Record created 2023-10-25, last modified 2025-02-07



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