Feb 12, 2024 · The proposed model is trained to detect ASD from eye‐tracking scanpath, heatmaps, and fixation maps. Monte Carlo dropout has been applied to the ...
A lightweight Involutional Neural Network (INN) architecture has been developed to diagnose ASD. The model follows a simpler architectural design and has less ...
Feb 12, 2024 · The proposed model is trained to detect ASD from eye-tracking scanpath (SP), heatmap (HM), and fixation map (FM) images. Monte Carlo Dropout has ...
A lightweight Involutional Neural Network (INN) architecture has been developed to diagnose ASD. The model follows a simpler architectural design and has less ...
ASDNet: A robust involution‐based architecture for diagnosis of autism spectrum disorder utilising eye‐tracking technology · IET Computer Vision, February 2024.
ASDNet: A robust involution‐based architecture for diagnosis of autism spectrum disorder utilising eye‐tracking technology. Overview of attention for article ...
ASDNet: A robust involution‐based architecture for diagnosis of autism spectrum disorder utilising eye‐tracking technology ... robust biomarker for the condition ...
An Involutional neural network architecture has been developed to diagnose ASD. The proposed model is trained to detect ASD from eye-tracking scanpath, heatmaps ...
ASDNet: A robust involution-based architecture for diagnosis of autism spectrum disorder utilising eye-tracking technology. IET Comput. Vis. (2024). Google ...
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The HM presents the saliency or. ASDNet: A robust involution‐based architecture for diagnosis of autism spectrum disorder utilising eye‐tracking technology.