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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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| Publicado no: | Neuroimage Clin |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5635344/ https://ncbi.nlm.nih.gov/pubmed/29034163 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.nicl.2017.08.017 |
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