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Updated: Jun 16, 2026

Non-invasive Imaging and Analysis of Cerebral Ischemia in Living Rats Using Positron Emission Tomography with 18F-FDG
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缺血性中风损伤核心细分从CT输液扫描使用注意力 ResUnet 深度学习

Omar Ibrahim Alirr1

  • 1College of Engineering and Technology, American University of the Middle East, Egaila, Kuwait. omar.alirr@aum.edu.kw.

Journal of imaging informatics in medicine
|February 14, 2025
PubMed
概括

本研究引入了一种深度学习系统,用于使用计算机断层输液 (CTP) 扫描进行自动化缺血性中风病变细分. 这种新的方法结合了边缘增强扩散过和注意力ResUnet模型,达到59%的准确性.

关键词:
注意U-Net的注意事项通过CT perfusion进行CT perfusion,使得人体内产生更多的光线.在EED中,EED是EED.缺血性中风是因为缺血性中风.分段化 分段化 分段化 分段化

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