Welcome to the InfoSci Platform
Reference Hub1
Comparative Study on ASD Identification Using Machine and Deep Learning

Comparative Study on ASD Identification Using Machine and Deep Learning

Rajandeep Kaur, Rajneesh Rani
Copyright: © 2020 |Pages: 21
ISBN13: 9781799830696|ISBN10: 1799830691|EISBN13: 9781799830702
DOI: 10.4018/978-1-7998-3069-6.ch015
Cite Chapter Cite Chapter

MLA

Kaur, Rajandeep, and Rajneesh Rani. "Comparative Study on ASD Identification Using Machine and Deep Learning." Interdisciplinary Approaches to Altering Neurodevelopmental Disorders, edited by Tanu Wadhera and Deepti Kakkar, IGI Global, 2020, pp. 250-270. https://doi.org/10.4018/978-1-7998-3069-6.ch015

APA

Kaur, R. & Rani, R. (2020). Comparative Study on ASD Identification Using Machine and Deep Learning. In T. Wadhera & D. Kakkar (Eds.), Interdisciplinary Approaches to Altering Neurodevelopmental Disorders (pp. 250-270). IGI Global. https://doi.org/10.4018/978-1-7998-3069-6.ch015

Chicago

Kaur, Rajandeep, and Rajneesh Rani. "Comparative Study on ASD Identification Using Machine and Deep Learning." In Interdisciplinary Approaches to Altering Neurodevelopmental Disorders, edited by Tanu Wadhera and Deepti Kakkar, 250-270. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-3069-6.ch015

Export Reference

Mendeley
Favorite

Abstract

Autism spectrum disorder (ASD) is a neurodevelopment disorder that consists of a lack of social interaction and repetitive behavior of a person. It must be diagnosed at an early stage; otherwise it may adversely affect the life of that person. However, ASD consists of numerous overlapping neurodevelopment disorders such as autism and schizophrenia, which share some common brain structures. The medical image analysis is very popular to identify and segment different diseases in healthcare. In recent years, due to the tremendous changes in imaging devices, neuroimaging has recorded a great increase in identifying neuropsychiatric disorders. Moreover, MRI (magnetic resonance imaging) is a powerful non-invasive medical imaging to distinguish between these overlapping diseases by extracting brain connectivity. The researchers have applied numerous algorithms to understand common and distinctive brain connectivity features for these disorders. This chapter will focus on state-of-the-art techniques based on machine and deep learning with their comparative analysis and challenges of ASD.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.