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Updated: Jan 31, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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肝细胞癌的生存预测和治疗决策:基于深度学习的放射学方法

Xiaoqin Wei1, Jun Xiao1, Ying Liu2

  • 1School of Medical Imaging, North Sichuan Medical College, 637000 Nanchong, Sichuan, China.

British journal of hospital medicine (London, England : 2005)
|January 29, 2026
PubMed
概括

深度学习放射学与临床数据相结合,可以预测肝细胞癌 (HCC) 患者接受肝切除术或跨动脉化学栓塞 (TACE) 的结果. 这些模型有效地评估生存风险,帮助选择治疗.

关键词:
这是TACE的税率.深度学习是一种深度学习.肝切除术 (hepatatectomy) 是一种切除肝脏的方法.肝细胞癌是肝细胞癌.预后 预后 预后

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