A heterogeneous graph convolutional attention network method for classification of autism spectrum disorder

BACKGROUND: Autism spectrum disorder (ASD) is a serious developmental disorder of the brain. Recently, various deep learning methods based on functional magnetic resonance imaging (fMRI) data have been developed for the classification of ASD. Among them, graph neural networks, which generalize deep...

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Detalles Bibliográficos
Autores principales: Shao, Lizhen, Fu, Cong, Chen, Xunying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536734/
https://www.ncbi.nlm.nih.gov/pubmed/37759189
http://dx.doi.org/10.1186/s12859-023-05495-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536734/
https://www.ncbi.nlm.nih.gov/pubmed/37759189
http://dx.doi.org/10.1186/s12859-023-05495-7

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