Autism Spectrum Disorder Detection Through Facial Analysis and Deep Learning: Leveraging Domain-Specific Variations
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2614-1_44
Reference15 articles.
1. Petrina et al (2021) Recent developments in understanding friendship of children and adolescents with autism spectrum disorders. In: Encyclopedia of autism spectrum disorders. Springer, Cham, Switzerland, pp 3875–3880
2. Aldridge K et al (2011) Facial phenotypes in subgroups of prepubertal boys with autism spectrum disorders are correlated with clinical phenotypes. PubMed 2(1):15. https://doi.org/10.1186/2040-2392-2-15
3. Rahman M et al (2022) Identification of autism in children using static facial features and deep neural networks. Brain Sci
4. Alzubaidi F et al (2021) Review of deep learning: concepts, CNN architectures, challenges, applications, future directions. J Big Data 8
5. Sadik1 R et al (2021) Recognition of autism spectrum disorder from facial expressions using MobileNet architecture. Int J Adv Trends Comput Sci Eng 10(1)
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