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Updated: Jan 22, 2026

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域调整,自我监督和生成增强增强了GNN用于乳腺癌预测的GNN

Shi Qiu1, Yun Zhao2, Xiuchang Li3

  • 1Department of Medical Oncology, Affiliated Hospital of Jiangnan University, Wuxi, 214026, Jiangsu, China.

Scientific reports
|January 20, 2026
PubMed
概括

一个新的图形神经网络 (GNN) 框架通过准确地分类亚型和预测生物标志物来改善乳腺癌的精确护理. 这种可解释的AI增强了跨队列概括和罕见的亚型适应,以获得更好的临床决策.

关键词:
乳腺癌是什么? 乳腺癌是什么域名适应领域适应可解释的人工智能图形神经网络是一个神经网络.分子子类型的分类.多任务学习是多任务学习.预测生存的预测.合成数据增强的合成数据增强.文字转录学 (Transcriptomics) 是一个学科.

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