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Updated: Jul 20, 2025

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一种基于转移学习和等级分割的病理癌症诊断和预后预测的通用AI方法

Pengzhi Yin1, Zehao Zhou2, Jingze Liu2

  • 1School of automation, Central South University, 410083, People's Republic of China.

Physics in medicine and biology
|August 3, 2023
PubMed
概括

本研究介绍了一种通用AI方法用于癌症诊断和病理学预后预测,使用双转移学习和层次分割网络实现高精度. DTL-HS-Regnet模型显示了改善数字病理学实践的巨大潜力.

关键词:
人工智能的人工智能是人工智能.癌症诊断和预后 预测 预测双重转移学习是双重转移学习.层次上的分裂是分层的.常规网络 常规网络 常规网络

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