Developing a multi-modal dataset for deep learning-based neural networks in autism spectrum disorder diagnosis
This study introduces a novel multi-modal dataset that has been meticulously curated to significantly improve diagnostic capabilities for Autism Spectrum Disorder (ASD). The dataset is intended to exploit the inherent diagnostic potential of facial images by emphasizing their systematic analysis....
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| Main Authors: | , , , |
|---|---|
| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
AIP publishing
2024
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/115388/7/115388_Developing%20a%20multi-modal%20dataset.pdf http://irep.iium.edu.my/115388/8/115388_Developing%20a%20multi-modal%20dataset_Scopus.pdf http://irep.iium.edu.my/115388/ https://pubs.aip.org/aip/acp/article-abstract/3161/1/020123/3310612/Developing-a-multi-modal-dataset-for-deep-learning?redirectedFrom=fulltext https://doi.org/10.1063/5.0229867 |
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http://irep.iium.edu.my/115388/7/115388_Developing%20a%20multi-modal%20dataset.pdfhttp://irep.iium.edu.my/115388/8/115388_Developing%20a%20multi-modal%20dataset_Scopus.pdf
http://irep.iium.edu.my/115388/
https://pubs.aip.org/aip/acp/article-abstract/3161/1/020123/3310612/Developing-a-multi-modal-dataset-for-deep-learning?redirectedFrom=fulltext
https://doi.org/10.1063/5.0229867