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Early Autism Detection via Deep Learning by Shirley Tints is a document available to read on EtoBox.

What is Early Autism Detection via Deep Learning about?

This study explores the use of deep learning techniques, specifically Convolutional Neural Networks (CNN), for the early detection of autism spectrum disorder (ASD) through facial recognition. It highlights the unique facial landmarks of children with ASD compared to typically developing peers and proposes an automated diagnostic system that enhances accuracy using transfer learning. The research emphasizes the need for efficient and timely diagnosis to improve intervention strategies for affected individua

Author

Shirley Tints

Language

EN