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Updated: Feb 10, 2026

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基于深度学习的病理学特征模型的构建和验证,用于预测患有清细胞细胞癌的患者的术后复发

Yiren Yang1, Jinxin Li1, Yisha Gao2

  • 1Department of Urology, Changhai Hospital, Naval Medical University Shanghai, China.

American journal of cancer research
|February 9, 2026
PubMed
概括

一个新的深度学习模型CRPNet准确地预测了手术后清细胞细胞癌 (ccRCC) 的复发. 这种先进的工具为ccRCC患者提供了改进的风险分层和预后,优于现有的方法.

关键词:
这就是CRPNet.清细胞脏细胞癌.深度学习是一种深度学习.病理学 是一种病理学.复发性 复发性 复发性

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