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Updated: Feb 4, 2026

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在基因病理图像中基于生物特征的机器学习:系统性审查

Stéphane Treillard1,2,3, Robin Schwob1,3,4, Sandrine Mouysset3,5

  • 1CHU de Toulouse, Toulouse, France.

Journal of pathology informatics
|February 2, 2026
PubMed
概括

使用手工制作的生物特征的机器学习为数字病理学中的深度学习提供了可解释的替代方案. 这一系统性审查分析了这些功能如何在血素和素图像中解决医疗问题.

关键词:
可以解释的可解释性.功能提取 功能提取组织病理学 组织病理学图像处理 图像处理机器学习 机器学习显微镜的使用方法

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