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Updated: Jan 16, 2026

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TDMAR-Net:用于CT金属工件减少的频率意识三域扩散网络.

Wenzhuo Chen1, Bowen Ning1, Zekun Zhou2

  • 1School of Information Engineering, Nanchang University, Nanchang 330031, People's Republic of China.

Physics in medicine and biology
|October 2, 2025
PubMed
概括

这项研究介绍了TDMAR-Net,这是一种用于减少CT图像中的金属工件的新型扩散模型. 它通过使用多域信息有效地提高图像质量,优于现有的无监督方法.

关键词:
计算机断层扫描 (CT) 是一种计算机断层扫描.深度学习是一种深度学习.扩散模型的扩散模型医疗图像处理 医疗图像处理减少金属工件的减少

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