Voxel- and tensor-based morphometry with machine learning techniques identifying characteristic brain impairment in patients with cervical spondylotic myelopathy

Voxel- and tensor-based morphometry with machine learning techniques identifying characteristic brain impairment in patients with cervical spondylotic myelopathy

AimThe diagnosis of cervical spondylotic myelopathy (CSM) relies on several methods, including x-rays, computed tomography, and magnetic resonance imaging (MRI). Although MRI is the most useful diagnostic tool, strategies to improve the precise and independent diagnosis of CSM using novel MRI imagin...

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Bibliographic Details
Main Authors:	Yang Wang, Rui Zhao, Dan Zhu, Xiuwei Fu, Fengyu Sun, Yuezeng Cai, Juanwei Ma, Xing Guo, Jing Zhang, Yuan Xue
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-02-01
Series:	Frontiers in Neurology
Subjects:	cervical spondylotic myelopathy structural MRI tensor-based morphometry voxel-based morphometry multivariate pattern analysis
Online Access:	https://www.frontiersin.org/articles/10.3389/fneur.2024.1267349/full

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