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Updated: Sep 19, 2025

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基于扩散的图像转换模型从低剂量胸部CT到评分CT与随机点采样

Ji-Hoon Jung1, Jong Eun Lee2, Hyun Seo Lee3

  • 1Biomedical Engineering Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, South Korea; Department of Biomedical Engineering, AMIST, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.

Computers in biology and medicine
|June 8, 2025
PubMed
概括

这项研究引入了一种人工智能方法,将低剂量CT (LDCT) 扫描转换为高质量的评分CT (CSCT) 图像. 这一进步通过提高LDCT扫描的冠状动脉评分精度来改善心血管风险评估.

关键词:
评分计算机断层扫描计算机断层扫描冠状动脉分数冠状动脉分数深度学习是一种深度学习.消灭扩散隐性模型的隐性模型域名适应领域适应低剂量胸部计算机断层扫描.

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