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Updated: Jun 5, 2025

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使用新型混合变压器-CNN网络 (HTC-net) 和自主监督预训的磁共振图像,对Rician噪声进行无声化

Shengjie Shi1, Cheng Wang1,2,3, Sa Xiao1,2

  • 1Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.

Medical physics
|December 6, 2024
PubMed
概括

这项研究引入了一种新的深度学习方法,用于消除超极化 (HP) 气体MRI,通过使用远程信息和自我监督的预训练,显著提高图像质量和诊断精度.

关键词:
这就是为什么MRI是MRI.深度学习是一种深度学习.超极化气体MRI图像是指高极化气体的MRI图像图像去色化 图像去色化自主监督的自我监督

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