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双域Wasserstein生成对抗网络与混合损失用于低剂量CT成像

Haichuan Zhou1, Wei Liu1, Yu Zhou1

  • 1School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang 471000, People's Republic of China.

Physics in medicine and biology
|January 6, 2025
PubMed
概括

一个新的双域Wasserstein生成对抗网络 (DWGAN) 有效地减少低剂量计算机断层扫描 (LDCT) 图像中的噪音和工件. 这种深度神经网络方法通过保留关键图像细节,显著提高了LDCT成像的诊断准确性.

关键词:
这是一个WGAN车辆.这是一个双域.混合损失 混合损失 混合损失低剂量CTCT可以使用.

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