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

Autism 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 functional MRI (rs...

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Vydáno v:	Frontiers in artificial intelligence Ročník 8; s. 1594372
Hlavní autoři:	Nafisah, Ibrahim, Mahmoud, Nermine, Ewees, Ahmed A., Khattap, Mohamed G., Dahou, Abdelghani, Alghamdi, Safar M., Fares, Ibrahim A., Azmi Al-Betar, Mohammed, Abd Elaziz, Mohamed
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland Frontiers Media S.A 25.06.2025
Témata:	Artificial Intelligence autism detection deep learning dynamic-opposite learning feature selection Hiking Optimization Algorithm resting-state functional MRI (rs-fMRI) deep learning autism detection resting-state functional MRI (rs-fMRI) Hiking Optimization Algorithm double attractors dynamic-opposite learning feature selection
ISSN:	2624-8212, 2624-8212
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