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MRI-based radiomics with automated segmentation and manual refinement for predicting treatment response in unresectable hepatocellular carcinoma: a multicenter study

Crossref DOI link: https://doi.org/10.1007/s00261-026-05382-8

Published Online: 2026-01-20

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

Authors

Yu, Yanyan

Qin, XingQing

Tao, Yuanfang

NAGA, ANIL

Pan, Yuanmei

Chen, JiaYuan

Jiang, Shengchen

Li, Yi

Wei, QiuYing

Wei, Yuchen

Lan, Mengna

Liao, Jinyuan
Funding

Funding for this research was provided by:

Natural Science Foundation of Guangxi Zhuang Autonomous Region (2023GXNSFAA026053)

National Natural Science Foundation of China (81360220)
License Information

Text and Data Mining valid from 2026-01-20

Version of Record valid from 2026-01-20
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Article History

Received: 10 December 2025

Revised: 2 January 2026

Accepted: 8 January 2026

First Online: 20 January 2026

Declarations

:

: The authors declare no competing interests.

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