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Facial Image-Based Autism Detection Using ConvNeXt Tiny: A Lightweight Deep Learning Approach for Early Screening

This study proposes a deep learning model using the ConvNeXt Tiny architecture to detect autism spectrum disorder (ASD) from facial images, addressing the need for an early, efficient, and accessible diagnostic tool. The model integrates facial image preprocessing techniques like Contrast Limited Ad...

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Principais autores: Putut Pamilih Widagdo, Muhammad Bambang Firdaus, Gubtha Mahendra Putra, Akhmad Irsyad
Format: Artigo
Sprog:Inglês
Udgivet: Pusat Penelitian dan Pengabdian Masyarakat (P3M), Politeknik Negeri Cilacap 2025-12-01
Serier:Journal of Innovation Information Technology and Application
Fag:
autism spectrum disorder
asd
convnext tiny
facial image classification
deep learning
Online adgang:https://ejournal.pnc.ac.id/index.php/jinita/article/view/2848
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