Interpretable and generalizable deep learning model for preoperative assessment of microvascular invasion and outcome in hepatocellular carcinoma based on MRI: a multicenter study

Interpretable and generalizable deep learning model for preoperative assessment of microvascular invasion and outcome in hepatocellular carcinoma based on MRI: a multicenter study

Abstract Objectives This study aimed to develop an interpretable, domain-generalizable deep learning model for microvascular invasion (MVI) assessment in hepatocellular carcinoma (HCC). Methods Utilizing a retrospective dataset of 546 HCC patients from five centers, we developed and validated a clin...

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Bibliographic Details
Main Authors: Xue Dong, Xibin Jia, Wei Zhang, Jingxuan Zhang, Hui Xu, Lixue Xu, Caili Ma, Hongjie Hu, Jiawen Luo, Jingfeng Zhang, Zhenchang Wang, Wenbin Ji, Dawei Yang, Zhenghan Yang
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Insights into Imaging
Subjects:
Hepatocellular carcinoma
Microvascular invasion
Deep learning model
Generalization
Interpretability
Online Access:https://doi.org/10.1186/s13244-025-02035-0
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