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Updated: Jul 20, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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基于拒绝复发标签的深度学习,用于预测HCC中术后复发风险和索拉芬尼布反应

Yixin Li1, Ji Xiong2, Zhiqiu Hu3

  • 1Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China.

BMC medicine
|March 19, 2025
PubMed
概括

这项研究开发了一个深度学习模型,使用病理图像来预测肝细胞癌 (HCC) 复发和患者对索拉费尼布治疗的反应,改善临床决策.

关键词:
深度学习是一种深度学习.拒绝了复发标签的否定肝细胞癌是肝细胞癌.预测 预后 预测 预测索拉费尼布的反应瘤病理学 瘤病理学

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