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Updated: May 7, 2026

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使用Deep Radon Prior进行神经架构搜索,用于稀疏视图CT图像重建

Jintao Fu1,2, Peng Cong1,2, Shuo Xu1,2,3

  • 1Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing, China.

Medical physics
|February 10, 2025
PubMed
概括

本研究介绍了NAS-DRP,这是一种用于稀疏视图计算机断层扫描 (CT) 重建的无监督深度学习方法. 它通过优化网络架构显著减少了文物,并提高了图像质量,为医学成像提供了有前途的解决方案.

关键词:
深度拉登先行者 在此之前图像重建 图像重建神经架构搜索神经架构搜索稀疏视野CTCT可以使用.

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