Biologically explicable multimodal model predicting local tumor progression and tumor invasiveness of hepatocellular carcinoma

The multimodal model achieved satisfactory performance on classifying tumor invasiveness, and provided effective strategy for high-invasiveness tumors to reduce LTP occurrence.

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Publication Details

Journal
Hepatology
Published
2026-01-15
DOI
https://doi.org/10.1097/hep.0000000000001678
Citations
1
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
23.38
Controls
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article

Biologically explicable multimodal model predicting local tumor progression and tumor invasiveness of hepatocellular carcinoma

Fangyi Liu, WenZhen Ding, Jiapeng Wu, Zhiyu Han et al.
1 citations
Hepatology
Hepatocellular Carcinoma Treatment and Prognosis
23.38
article

Biologically explicable multimodal model predicting local tumor progression and tumor invasiveness of hepatocellular carcinoma

Fangyi Liu, WenZhen Ding, Jiapeng Wu, Zhiyu Han, Ping Liang, Jie Yu
article en
1 citations

Abstract

The multimodal model achieved satisfactory performance on classifying tumor invasiveness, and provided effective strategy for high-invasiveness tumors to reduce LTP occurrence.

Hepatology
Chinese PLA General Hospital (CN), European Neuroendocrine Tumor Society (DE), Voestalpine (Brazil) (BR), Institute of Oriental Manuscripts (RU)
Openalex Percentile: Top 3%
Hepatocellular Carcinoma Treatment and Prognosis
23.38
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