Artificial Neural Network for Diagnosing Autism Spectrum Disorder

Autism Spectrum Disorder (ASD) is one of the situations that will face on the early childhood. There are several methods existing in nowadays for diagnosis ASD. Diagnosing ASD using Structural and functional MRI of Brain. Structural and Functional MRI are taken from the ABIDE dataset. In order to turn towards the idea for diagnosing ASD by using Magnetic Resonance Images (MRI), first need to understand the size of the brain and the functionality of the brain. The size is taken from Structural MRI. Structural features are extracted from Cerebral White Matter (CWM) and from Cerebral Gray Matter (CGM). Image processing techniques are used for pre-processing the images and classification is done by using Artificial Neural Network (ANN). Anatomic features are extracted by calculating the area of the brain MRI. Functionality of the brain is measured by taking the slice time improvement and these all are succeeded by using image processing techniques. Linking the both Structural and Functional MRI together and then classify it as Autistic or healthy control using Artificial Neural Network.