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Updated: May 23, 2025

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路径增强块化方法,剩余关注医疗图像细分

Shanshan Li1, Zaixian Zhang2, Shunli Liu2

  • 1College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China.

Medical physics
|March 8, 2025
PubMed
概括

这项研究引入了使用路径增强和注意力机制的改进的医疗图像细分方法. 这种新的方法提高了功能利用率和精度,特别是在计算机断层扫描 (CT) 扫描中的复杂结构.

关键词:
在U-Net中,U-Net是U-Net.分块化策略分块化策略.深度学习是一种深度学习.医疗图像细分 医疗图像细分路径增强路径增强方式剩余的注意力 剩余的注意力

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