ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data

ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data

Heterogeneous mental disorders such as Autism Spectrum Disorder (ASD) are notoriously difficult to diagnose, especially in children. The current psychiatric diagnostic process is based purely on the behavioral observation of symptomology (DSM-5/ICD-10) and may be prone to misdiagnosis. In order to m...

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Bibliographic Details
Main Authors: Taban Eslami, Vahid Mirjalili, Alvis Fong, Angela R. Laird, Fahad Saeed
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Neuroinformatics
Subjects:
fMRI
ASD
SLP
autoencoder
ABIDE
classification
Online Access:https://www.frontiersin.org/article/10.3389/fninf.2019.00070/full

Internet

https://www.frontiersin.org/article/10.3389/fninf.2019.00070/full

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