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Updated: Jan 12, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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基于机器学习的肝细胞癌生存预测模型的构建和验证

Qiyang Zhao1, Ying Zhang1, Qun Xi2

  • 1School of Medical Information Engineering, Gansu University of Chinese Medicine, No. 35, Dingxi East Road, Chengguan District, Lanzhou City, Gansu Province, China.

Medical & biological engineering & computing
|November 3, 2025
PubMed
概括

机器学习增强了肝细胞癌 (HCC) 的生存预测. 综合模型结合了深度学习和传统方法,为个性化HCC治疗提供了卓越的准确性.

关键词:
考克斯神经网络是一个神经网络.组合学习学习 组合学习肝细胞癌是肝细胞癌.机器学习 机器学习塞尔·塞尔 (Seer) 是一个看得见的人.对生存分析的分析.在TCGA中,TCGA就是TCGA.

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