Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study
- 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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Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study ; volume:24 ; number:1 ; day:15 ; month:4 ; year:2024 ; pages:1-16 ; date:12.2024
BMC medical imaging ; 24, Heft 1 (15.4.2024), 1-16, 12.2024
- Urheber
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Du, Yangchun
Guo, Wenwen
Xiao, Yanju
Chen, Haining
Yao, Jinxiu
Wu, Ji
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s12880-024-01251-2
- URN
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urn:nbn:de:101:1-2406272106400.573028601050
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 11:02 MESZ
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Beteiligte
- Du, Yangchun
- Guo, Wenwen
- Xiao, Yanju
- Chen, Haining
- Yao, Jinxiu
- Wu, Ji
- SpringerLink (Online service)
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