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Updated: Mar 8, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

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基于多模式数据的图形卷积网络用于预测接受新辅助化疗的卵巢癌患者的结果

Shimin Zhang1, Yinlong Liu2, Zhuonan Liu3

  • 1Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.

NPJ precision oncology
|March 6, 2026
PubMed
概括

一个新的图形卷积网络 (GCN) 改善了接受新辅助化疗 (NACT) 的晚期卵巢癌患者的结果预测. 这种人工智能模型整合了临床和放射性数据,以预测生存和手术成功.

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