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

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Associated

  • Zhang, Weibin
  • Guo, Qihui
  • Zhu, Yuli
  • Wang, Meng
  • Zhang, Tong
  • Cheng, Guangwen
  • Zhang, Qi
  • Ding, Hong
  • SpringerLink (Online service)

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