Early Autism Diagnosis based on Path Signature and Siamese Unsupervised Feature Compressor

arXiv:2307.06472v3 Announce Type: replace
Abstract: Autism Spectrum Disorder (ASD) has been emerging as a growing public health threat. Early diagnosis of ASD is crucial for timely, effective intervention and treatment. However, conventional diagnosis methods based on communications and behavioral patterns are unreliable for children younger than 2 years of age. Given evidences of neurodevelopmental abnormalities in ASD infants, we resort to a novel deep learning-based method to extract key features from the inherently scarce, class-imbalanced, and heterogeneous structural MR images …

abstract arxiv autism children communications compressor cs.cv diagnosis feature health however path patterns public public health q-bio.nc spectrum threat treatment type unsupervised