Cross-institutional evaluation of deep learning and radiomics models in predicting microvascular invasion in hepatocellular carcinoma: validity, robustness, and ultrasound modality efficacy comparison
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Cross-institutional evaluation of deep learning and radiomics models in predicting microvascular invasion in hepatocellular carcinoma: validity, robustness, and ultrasound modality efficacy comparison ; volume:24 ; number:1 ; day:22 ; month:10 ; year:2024 ; pages:1-10 ; date:12.2024
Cancer imaging ; 24, Heft 1 (22.10.2024), 1-10, 12.2024
- Creator
-
Zhang, Weibin
Guo, Qihui
Zhu, Yuli
Wang, Meng
Zhang, Tong
Cheng, Guangwen
Zhang, Qi
Ding, Hong
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s40644-024-00790-9
- URN
-
urn:nbn:de:101:1-2501102121517.039972281370
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:31 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Zhang, Weibin
- Guo, Qihui
- Zhu, Yuli
- Wang, Meng
- Zhang, Tong
- Cheng, Guangwen
- Zhang, Qi
- Ding, Hong
- SpringerLink (Online service)