Multimodal Autism Spectrum Disorder Method Using GCN With Dual Transformers
Autism spectrum disorder (ASD) presents diagnostic challenges due to its heterogeneous nature, necessitating advanced methods for accurate identification. This study proposes a novel diagnostic approach that integrates Graph convolutional networks (GCN) with dual transformer architectures, optimized...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10848112/ |
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