Identification of autism spectrum disorder using deep learning and the ABIDE dataset

The goal of the present study was to apply deep learning algorithms to identify autism spectrum disorder (ASD) patients from large brain imaging dataset, based solely on the patients brain activation patterns. We investigated ASD patients brain imaging data from a world-wide multi-site database know...

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Detalles Bibliográficos
Autores principales: Heinsfeld, Anibal Sólon, Franco, Alexandre Rosa, Craddock, R. Cameron, Buchweitz, Augusto, Meneguzzi, Felipe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635344/
https://www.ncbi.nlm.nih.gov/pubmed/29034163
http://dx.doi.org/10.1016/j.nicl.2017.08.017

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635344/
https://www.ncbi.nlm.nih.gov/pubmed/29034163
http://dx.doi.org/10.1016/j.nicl.2017.08.017

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