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Updated: Jan 23, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
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Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

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iMCN:基于信息压缩的多式联通信任引导融合网络,用于癌症存活率预测

Chaoyi Lyu1, Lu Zhao2, Yuan Xie3

  • 1Shanghai Jiao Tong University, Shanghai 200040, Shanghai, 200240, CHINA.

Biomedical physics & engineering express
|January 21, 2026
PubMed
概括

这项研究引入了一个新的深度学习模型,iMCN,通过整合整个幻灯片图像和基因组数据来预测癌症存活率. 该模型提高了准确性,并提供了对癌症发展的生物学见解.

关键词:
多模式学习是多模式学习.癌症生存率预测 癌症生存率预测互补关系是一种互补的关系.信息 冗余 裁员

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