双分支引导的多尺度半实例规范化网络用于低剂量CT图像消噪

Jielin Jiang1,2,3, Chaochao Ge1, Shun Wei1

  • 1School of Software, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China.

Medical physics
|October 8, 2025
PubMed
概括

这项研究介绍了DGMINet,这是一种高效的深度学习模型,用于低剂量计算机断层扫描 (LDCT) 检测噪音. 通过保存细节和减少噪音,DGMINet显著提高了图像质量,以改善医疗诊断.

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