Diagnosis of schizophrenia with functional connectome data: a graph-based convolutional neural network approach

Previous deep learning methods have not captured graph or network representations of brain structural or functional connectome data. To address this, we developed the BrainNet-Global Covariance Pooling-Attention Convolutional Neural Network (BrainNet-GA CNN) by incorporating BrainNetCNN and global c...

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Detalles Bibliográficos
Autores principales: Oh, Kang-Han, Oh, Il-Seok, Tsogt, Uyanga, Shen, Jie, Kim, Woo-Sung, Liu, Congcong, Kang, Nam-In, Lee, Keon-Hak, Sui, Jing, Kim, Sung-Wan, Chung, Young-Chul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764800/
https://www.ncbi.nlm.nih.gov/pubmed/35038994
http://dx.doi.org/10.1186/s12868-021-00682-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764800/
https://www.ncbi.nlm.nih.gov/pubmed/35038994
http://dx.doi.org/10.1186/s12868-021-00682-9

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