A Novel Hybrid Unet-RBF and CNN-RBF Algorithm for Autism Spectrum Disorder Classification
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...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
UNIMAS Publisher
2024
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| Subjects: | |
| 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 |
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