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Updated: May 13, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

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Published on: November 8, 2012

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自主监督的安装方法基于类似的邻里信息的voxels为intravoxel不连贯的运动扩散权重的MRI

Lingfeng Luo1, Chen Ye1, Tianxian Li1

  • 1Key Laboratory of Advanced Medical Imaging and Intelligent Computing of Guizhou Province, Engineering Research Center of Text Computing & Cognitive Intelligence, Ministry of Education, State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, China.

Medical physics
|April 14, 2025
PubMed
概括

这项研究介绍了IVIM-CNNsimilar,这是一种新的深度学习方法,用于在扩散权重成像中对intravoxel不连贯运动 (IVIM) 参数估计. 该方法通过利用类似的voxel社区来提高准确性和细节保存,从而提高临床应用的潜力.

关键词:
集群分析集群分析集群分析卷积神经网络是一种卷积神经网络.在intravoxel不连贯的运动.参数估计的参数估计.沃克塞尔斯的类似社区

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