ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data

ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data

Autism spectrum disorder (ASD) is a heterogenous neurodevelopmental disorder which is characterized by impaired communication, and limited social interactions. The shortcomings of current clinical approaches which are based exclusively on behavioral observation of symptomology, and poor understandin...

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Bibliographic Details
Main Authors: Fahad Almuqhim, Fahad Saeed
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Computational Neuroscience
Subjects:
ASD
fMRI
autoencoder
sparse autoencoder
ABIDE
deep-learning
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2021.654315/full

Internet

https://www.frontiersin.org/articles/10.3389/fncom.2021.654315/full

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