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开发一种甲状腺癌分化状态分类系统,使用深度残留网络和代谢特征分析

Yanzhi Zhang1,2, Xiaoxue Du1,2, Sijia Cai1,2

  • 1Department of Head and Neck Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.

NPJ digital medicine
|September 24, 2025
PubMed
概括

我们开发了一个可解释的深度学习模型,使用多原子数据对甲状腺癌进展进行分类. 这种方法确定了用于早期诊断和改善临床决策的关键代谢特征.

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