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转移学习与亚当金 Rush 优化子宫内膜疾病分类使用组织病理图像的优化

Sudhagar Dhandapani1, Ravikumar Subburam2, Pretty Diana Cyril Cyriloose3

  • 1Department of Information Technology, Jerusalem College of Engineering, Chennai, India.

Microscopy research and technique
|July 9, 2025
PubMed
概括

一个新的转移学习卷积神经网络与Adam Gold Rush优化 (TL-CNN_AdGRO) 准确地从组织病理图像中分类子宫内膜癌,改善早期检测和患者存活率.

关键词:
亚当黄金热优化优化 亚当黄金热优化深度学习是一种深度学习.基于定向连接性的细分.这是子宫内膜癌的癌症.转移学习转移学习

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