A Novel Hybrid Unet-RBF and CNN-RBF Algorithm for Autism Spectrum Disorder Classification

• Main Authors: Lim, Huey Chern, Abdulrazak Yahya, Saleh
• Format: Article
• Language: English
• Published: UNIMAS Publisher 2024
• Subjects: QA76 Computer software
• Online Access: http://ir.unimas.my/id/eprint/44530/3/A%20Novel.pdf; http://ir.unimas.my/id/eprint/44530/; https://publisher.unimas.my/ojs/index.php/JCSHD/article/view/6778; https://doi.org/10.33736/jcshd.6778.2024

The 2021 CDC report indicates that Autism Spectrum Disorder affects 1 in 44 children, necessitating advanced classification methods. This article proposes a hybrid deep learning approach for ASD classification, merging U-net and Radial Basis Functions for medical image segmentation and integrating C...