基于深度学习的重建算法与肺部增强过器用于胸部CT:对图像质量和地面玻璃结节度的影响

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Min-Hee Hwang1, Shinhyung Kang2, Ji Won Lee1

  • 1Department of Radiology and Medical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea.

Korean journal of radiology
|August 28, 2024
PubMed
概括

具有深度学习图像重建 (DLIR) 的新型肺增强过器显著提高了地面玻璃结节的清晰度. 这种技术提高了超低剂量胸部CT扫描的图像质量.

关键词:
深度学习是一种深度学习.多检测器计算机断层扫描.幻影,成像成像的使用.一个人的肺结节.

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