Interpretable machine learning model based on CT semantic features and radiomics features to preoperatively predict Ki-67 expression in gastrointestinal stromal tumors

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
1 Online-Ressource.
Language
Englisch

Bibliographic citation
Interpretable machine learning model based on CT semantic features and radiomics features to preoperatively predict Ki-67 expression in gastrointestinal stromal tumors ; volume:14 ; number:1 ; day:26 ; month:11 ; year:2024 ; pages:1-10 ; date:12.2024
Scientific reports ; 14, Heft 1 (26.11.2024), 1-10, 12.2024

Creator
Wang, Yating
Bai, Genji
Liu, Yan
Huang, Min
Chen, Wei
Wang, First
Contributor
SpringerLink (Online service)

DOI
10.1038/s41598-024-80978-y
URN
urn:nbn:de:101:1-2502112202333.192926529893
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:35 AM CEST

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Associated

  • Wang, Yating
  • Bai, Genji
  • Liu, Yan
  • Huang, Min
  • Chen, Wei
  • Wang, First
  • SpringerLink (Online service)

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