Employing explainability on facial landmarks for autism spectrum disorder diagnosis using deep CNN
This paper presents a pioneering investigation into the utilization of deep Convolutional Neural Networks (CNNs) for the diagnosis of Autism Spectrum Disorder (ASD), with a specific emphasis on the integration of explainability techniques. While existing research has primarily focused on 2D facial...
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| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
AIP publishing
2024
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/115451/7/115451_%20Employing%20explainability.pdf http://irep.iium.edu.my/115451/8/115451_%20Employing%20explainability_Scopus.pdf http://irep.iium.edu.my/115451/ https://pubs.aip.org/aip/acp/article-abstract/3161/1/020124/3310613/Employing-explainability-on-facial-landmarks-for?redirectedFrom=fulltext https://doi.org/10.1063/5.0229868 |
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Internet
http://irep.iium.edu.my/115451/7/115451_%20Employing%20explainability.pdfhttp://irep.iium.edu.my/115451/8/115451_%20Employing%20explainability_Scopus.pdf
http://irep.iium.edu.my/115451/
https://pubs.aip.org/aip/acp/article-abstract/3161/1/020124/3310613/Employing-explainability-on-facial-landmarks-for?redirectedFrom=fulltext
https://doi.org/10.1063/5.0229868