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DRLSurv:通过挖掘多模式一致性和互补性来预测癌症生存率的脱而出的表示学习

Ying Xu, Yi Shi, Honglei Liu

    IEEE journal of biomedical and health informatics
    |June 11, 2025
    PubMed
    概括

    DRLSURV是一种新的多式深度学习方法,通过有效地整合组织病理学和基因组数据来改善癌症存活率预测. 它以独特的方式捕获一致和互补的信息,以改善患者的预后.

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