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Updated: Jun 29, 2026

Basics of Multivariate Analysis in Neuroimaging Data
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TGNet:基于张量图的卷积网络,用于多式联络脑网络分析.

Zhaoming Kong1, Rong Zhou2, Xinwei Luo2

  • 1School of Software Engineering, South China University of Technology, 382 Waihuan Dong Road, Guangzhou, 510006, China.

BioData mining
|December 5, 2024
PubMed
概括

这项研究介绍了TGNet,这是一种用于多式联络大脑网络分析的新框架. TGNet有效地对神经系统疾病进行了分类,超过了现有的方法,特别是有限的数据.

关键词:
疾病的分类疾病的分类.图表 卷积网络 卷积网络多模式大脑网络是多模式的大脑网络.电张器电张器是一个电张器.

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Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).