Interpretable deep learning framework based on contrast-enhanced MRI for predicting histological grade of hepatocellular carcinoma

The iHCG-Net can be a promising interpretable artificial intelligence tool for the preoperative prediction of HCC grading.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2025-12-31
DOI
https://doi.org/10.21037/qims-2025-269
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
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article

Interpretable deep learning framework based on contrast-enhanced MRI for predicting histological grade of hepatocellular carcinoma

Xiuding Cai, Qingwei Song, Qihao Xu, Xin Wang et al.
Quantitative Imaging in Medicine and Surgery
Hepatocellular Carcinoma Treatment and Prognosis
article

Interpretable deep learning framework based on contrast-enhanced MRI for predicting histological grade of hepatocellular carcinoma

Xiuding Cai, Qingwei Song, Qihao Xu, Xin Wang, Ailian Liu, Wenjun Hu, Ying Zhao, Yu Yao
article en

Abstract

The iHCG-Net can be a promising interpretable artificial intelligence tool for the preoperative prediction of HCC grading.

Quantitative Imaging in Medicine and SurgeryVol. 16(1)
Dalian Medical University (CN), Chinese Academy of Sciences (CN), First Affiliated Hospital of Dalian Medical University (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 29%
Hepatocellular Carcinoma Treatment and Prognosis
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