Crossmark

Multi-algorithm radiomics machine learning models integrating ultrasound imaging and inflammation-immune features for hepatic metastases identification

Crossref DOI link: https://doi.org/10.1186/s12880-025-01977-7

Published Online: 2025-11-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wu, Linyong

Wu, Shaofeng

Li, Songhua

Li, Shaofeng

Lin, Yan

Wei, Dayou
Funding

Funding for this research was provided by:

Guangdong Provincial Medical Science and Technology Research Fund Project (A2024269)
License Information

Text and Data Mining valid from 2025-11-03

Version of Record valid from 2025-11-03
More Information

Article History

Received: 26 May 2025

Accepted: 3 October 2025

First Online: 3 November 2025

Declarations

:

: The study was conducted in accordance with the Declaration of Helsinki. This retrospective study was approved by the Ethics Committee of Maoming People’s Hospital (PJ2025MI-K051-01), and the requirement for written informed consent was waived.

: Not applicable.

: The authors declare no competing interests.

Document is current

Any future updates will be listed below