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Updated: Jan 22, 2026

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Cha-PO和CVNet:使用自适应特征选择和深度学习实现高精度和效率的混合方法来自动检测白内障

A Essaki Muthu1, K Saravanan2

  • 1Department of Computer Science and Engineering, SCAD College of Engineering and Technology, Tirunelveli, India. saravanankrish@annauniv.edu.

Scientific reports
|January 20, 2026
PubMed
概括

使用自动化医学图像分析早期检测白内障至关重要. 一种新的混沌自适应-细菌优化 (Cha-PO) 和白内障视觉网络 (CVNet) 方法显著提高了诊断的准确性和效率.

关键词:
发现白内障的检测仪深度学习是一种深度学习.功能提取 功能提取基金图片 基金图片医学成像医学成像

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