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Updated: Jun 10, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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基于深度学习的多模式数据集成增强乳腺癌无疾病生存预测

Zehua Wang1, Ruichong Lin2,3, Yanchun Li4

  • 1Guangdong Key Laboratory of Cross-Application of Data Science and Technology, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai 519087, China.

Precision clinical medicine
|June 24, 2024
PubMed
概括

这项研究开发了一种新的深度学习模型,集成多模式数据,以准确预测乳腺癌. 该模型在预测无病生存期 (DFS) 中显示出高准确度,有助于个性化治疗策略.

关键词:
乳腺癌 乳腺癌 乳腺癌深度学习是一种深度学习.没有疾病的生存率.多种方式的多种方式.病理病理学 病理学 病理学

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