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Hybrid Vision Transformer-Mamba Framework For Autism Diagnosis Via Eye-Tracking Analysis by Sudarshan A S Suda is a document available to read on EtoBox.

What is Hybrid Vision Transformer-Mamba Framework For Autism Diagnosis Via Eye-Tracking Analysis about?

This study introduces a hybrid deep learning framework, the ViT-Mamba model, for diagnosing Autism Spectrum Disorder (ASD) through eye-tracking analysis, achieving high accuracy and sensitivity. The model integrates spatial and temporal gaze features using Vision Transformers and Vision Mamba, enhancing diagnostic reliability and interpretability compared to traditional methods. The findings highlight the potential for scalable ASD screening, especially in resource-limited clinical settings.

Author

Sudarshan A S Suda

Language

EN