Survival Prediction and Treatment Decisions in Hepatocellular Carcinoma: A Deep Learning-Based Radiomics Approach

The machine learning models can potentially predict differences in outcomes between hepatectomy and TACE. Furthermore, prognostic models using deep learning-based features can effectively predict survival risk in HCC patients.

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Publication Details

Journal
British Journal of Hospital Medicine
Published
2026-01-26
DOI
https://doi.org/10.31083/bjhm50380
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
0.00

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article

Survival Prediction and Treatment Decisions in Hepatocellular Carcinoma: A Deep Learning-Based Radiomics Approach

Ziren Luo, Xiaowen Chen, Ying Liu, Chaofeng Yang et al.
British Journal of Hospital Medicine
Hepatocellular Carcinoma Treatment and Prognosis
article

Survival Prediction and Treatment Decisions in Hepatocellular Carcinoma: A Deep Learning-Based Radiomics Approach

Ziren Luo, Xiaowen Chen, Ying Liu, Chaofeng Yang, Mingyue Tang, Xiaoqin Wei, Jun Xiao
article en

Abstract

The machine learning models can potentially predict differences in outcomes between hepatectomy and TACE. Furthermore, prognostic models using deep learning-based features can effectively predict survival risk in HCC patients.

British Journal of Hospital MedicineVol. 87(1)
North Sichuan Medical University (CN), Affiliated Hospital of North Sichuan Medical College (CN), First Affiliated Hospital of Chengdu Medical College (CN)
Department of Science and Technology of Sichuan Province
Reduced inequalities
Openalex Percentile: Top 70%
Hepatocellular Carcinoma Treatment and Prognosis
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