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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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| Publicado no: | Radiol Artif Intell |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Radiological Society of North America
2019
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| 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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