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在多个实例学习中可学习的上下文,用于整个幻灯片图像分类和细分

Yu-Yuan Huang1, Wei-Ta Chu2

  • 1National Cheng Kung University, Tainan, Taiwan.

Journal of imaging informatics in medicine
|November 4, 2024
PubMed
概括

这项研究通过结合实例上下文和自我注意机制,通过使用多个实例学习 (MIL) 增强了整个幻灯片图像 (WSI) 分析. 改进的方法提高了数字病理学的分类准确性和细分性能.

关键词:
功能聚合 功能聚合.可学习的背景 可学习的背景多个实例的学习是多个实例的学习.视觉变压器 视觉变压器整个幻灯片图像分析.

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