Deep learning-based feature selection for detection of autism spectrum disorder

Deep learning-based feature selection for detection of autism spectrum disorder

IntroductionAutism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by challenges in communication, social interactions, and repetitive behaviors. The heterogeneity of symptoms across individuals complicates diagnosis. Neuroimaging techniques, particularly resting-state functi...

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Main Authors: Ibrahim Nafisah, Nermine Mahmoud, Ahmed A. Ewees, Mohamed G. Khattap, Abdelghani Dahou, Safar M. Alghamdi, Ibrahim A. Fares, Mohammed Azmi Al-Betar, Mohamed Abd Elaziz
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Artificial Intelligence
Subjects:
autism detection
deep learning
resting-state functional MRI (rs-fMRI)
feature selection
Hiking Optimization Algorithm
dynamic-opposite learning
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2025.1594372/full
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https://www.frontiersin.org/articles/10.3389/frai.2025.1594372/full

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