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基于深度学习的CT降噪数据不确定性的评估,使用组合患者数据和虚拟成像试验框架

Zhongxing Zhou1, Scott S Hsieh1, Hao Gong1

  • 1Department of Radiology, Mayo Clinic, Rochester, MN, 55905, USA.

Proceedings of SPIE--the International Society for Optical Engineering
|April 12, 2024
PubMed
概括

深度学习图像重建显示了详细的不确定性,但可能比传统方法更扭曲真相. 这种深度卷积神经网络 (DCNN) 方法为改进小结构检测提供了潜力.

关键词:
计算机断层扫描 (CT) 扫描深度卷积神经网络 (DCNN) 是一个深度卷积神经网络.数据不确定性数据不确定性虚拟成像试验试验 虚拟成像试验

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