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Updated: Jul 15, 2025

Comparing Eye-tracking Data of Children with High-functioning ASD, Comorbid ADHD, and of a Control Watching Social Videos
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Comparing Eye-tracking Data of Children with High-functioning ASD, Comorbid ADHD, and of a Control Watching Social Videos

Published on: December 7, 2018

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一个异质图卷积注意力网络方法用于对自闭症谱系障碍进行分类

Lizhen Shao1,2, Cong Fu3,4, Xunying Chen3,4

  • 1Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, Beijing, 100083, China. lshao@ustb.edu.cn.

BMC bioinformatics
|September 27, 2023
PubMed
概括

这项研究引入了一种新的深度学习模型,用于使用脑成像数据对自闭症谱系障碍 (ASD) 的分类. 不同质图卷积注意网络 (HCAN) 有效地利用受试者表型信息,在ASD诊断中实现高准确性.

关键词:
在ASD中,使用的是ASD.注意力机制注意力机制在FMRI的过程中,我们可以使用FMRI.不同质的图形卷积网络.

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