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一个基于多模式数据的模型用于乳腺癌诊断

Huina Wang1, Lan Wei2, Jianqiang Li3

  • 1School of Computer Science, Beijing University of Technology, Beijing, 100124, China; FutureNeuro Research Ireland Centre, School of Computer Science, University College Dublin, Dublin, D04 V1W8, Ireland.

Computer methods and programs in biomedicine
|February 27, 2026
PubMed
概括

本研究介绍了功能增强和语义协作对准 (FESCA) 框架,用于使用多式联络数据改进乳腺癌诊断. 费斯卡增强了特征表示和跨模式对齐,超过了准确分类的现有方法.

关键词:
相反的学习学习.跨模式的学习学习.诊断系统的诊断系统.多式联运分类是多式联运分类.

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