Interpretable machine learning model based on CT semantic features and radiomics features to preoperatively predict Ki-67 expression in gastrointestinal stromal tumors
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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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
- Urheber
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Wang, Yating
Bai, Genji
Liu, Yan
Huang, Min
Chen, Wei
Wang, First
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-024-80978-y
- URN
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urn:nbn:de:101:1-2502112202333.192926529893
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:35 MESZ
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Beteiligte
- Wang, Yating
- Bai, Genji
- Liu, Yan
- Huang, Min
- Chen, Wei
- Wang, First
- SpringerLink (Online service)
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