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Large language models and multimodal foundation models for precision oncology

; ; ;

In
npj precision oncology 8(1), Seiten/Artikel-Nr.:72

Impressum[London] : Springer Nature

Umfang1-4

ISSN2397-768X

Online
DOI: 10.1038/s41698-024-00573-2

DOI: 10.18154/RWTH-CONV-254498
URL: https://publications.rwth-aachen.de/record/1008128/files/1008128.pdf

Einrichtungen

  1. Lehrstuhl für Maschinelles Lernen in der Radiologie (952210)
  2. Klinik und Lehrstuhl für Diagnostische und Interventionelle Radiologie (532010-2)


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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85188505852
WOS Core Collection: WOS:001189257100002
PubMed: pmid:38519519

Interne Identnummern
RWTH-CONV-254498
Datensatz-ID: 1008128

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

 GO

Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; DOAJ Seal ; Essential Science Indicators ; Fees ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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 Record created 2025-03-18, last modified 2025-11-27
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