A multi-filter deep transfer learning framework for image-based autism spectrum disorder detection

A multi-filter deep transfer learning framework for image-based autism spectrum disorder detection

Abstract Autism Spectrum Disorder (ASD) affects approximately $$1\%$$ of the global population and is characterized by difficulties in social communication and repetitive or obsessive behaviors. Early detection of autism is crucial, as it allows therapeutic interventions to be initiated earlier, sig...

Full description

Saved in:
Bibliographic Details
Main Authors: Rodrigo Colnago Contreras, Monique Simplicio Viana, Victor José Souza Bernardino, Francisco Lledo dos Santos, Önsen Toygar, Rodrigo Capobianco Guido
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Deep transfer learning
Signal processing
Autism spectrum disorder detection
Pattern recognition
Machine learning
Online Access:https://doi.org/10.1038/s41598-025-97708-7
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-97708-7

Similar Items