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A Multichannel Deep Neural Network Model Analyzing Multiscale Functional Brain Connectome Data for Attention Deficit Hyperactivity Disorder Detection

PURPOSE: To develop a multichannel deep neural network (mcDNN) classification model based on multiscale brain functional connectome data and demonstrate the value of this model by using attention deficit hyperactivity disorder (ADHD) detection as an example. MATERIALS AND METHODS: In this retrospect...

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Detalhes bibliográficos
Publicado no:Radiol Artif Intell
Main Authors: Chen, Ming, Li, Hailong, Wang, Jinghua, Dillman, Jonathan R., Parikh, Nehal A., He, Lili
Formato: Artigo
Idioma:Inglês
Publicado em: Radiological Society of North America 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6996597/
https://ncbi.nlm.nih.gov/pubmed/32076663
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2019190012
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