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Updated: Jan 18, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
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预测癌患者的生存率和患者的生存率,使用机器学习分析核突发的核突发

Elena Ivanova1,2, Alexey Fayzullin1,3, Victor Grinin4

  • 1Institute for Regenerative Medicine, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.

Cancer medicine
|September 10, 2025
PubMed
概括

一个人工智能模型通过分析细胞概况来增强清细胞细胞癌 (ccRCC) 的分级,改进了超越当前WHO/ISUP系统的转移潜力评估. 这种人工智能驱动的方法为ccRCC患者提供了更准确的预后.

关键词:
人工智能的人工智能是人工智能.计算病理学计算病理学计算机视觉 计算机视觉数字病理学数字病理学细胞癌瘤是细胞癌.

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