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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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针对转移性乳腺癌患者的个性化手术建议和定量治疗见解:深度学习的见解

Enzhao Zhu1, Linmei Zhang2, Jiayi Wang1

  • 1School of Medicine Tongji University Shanghai China.

Cancer innovation
|July 1, 2024
PubMed
概括

一个新的深度学习模型,DSME,有效地识别了转移性乳腺癌患者从手术中受益. 这种方法可以改善治疗建议和手术决策,特别是在乳腺保护手术中.

关键词:
乳房外科手术 乳房外科手术有关因果推理的推理.深度学习是一种深度学习.转移性乳腺癌 转移性乳腺癌

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相关概念视频

Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...