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优化霍恩斯菲尔德单位转换用于CT成像中可解释的时间阶段特定的缺血性中风分类.

Radwan Qasrawi1,2, Suliman Thwib1, Ghada Issa1

  • 1Department of Computer Science, Al Quds University, Jerusalem P.O. Box 20002, Palestine.

Journal of imaging
|December 24, 2025
PubMed
概括

一个新的神经网络框架动态优化CT图像增强,用于准确的缺血性中风分类. 与静态方法相比,这种方法显著改善了所有中风阶段的检测.

关键词:
计算机断层扫描 (CT) 是一种计算机断层扫描.可以解释的人工智能AI霍恩斯菲尔德部队图像增强 图像增强 图像增强缺血性中风 中风神经网络的神经网络的神经网络

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