Autism spectrum disorder detection using brain MRI image enabled deep learning with hybrid sewing training optimization
- Title
- Autism spectrum disorder detection using brain MRI image enabled deep learning with hybrid sewing training optimization
- Creator
- Prasad V.; Sriramakrishnan G.V.; Diana Jeba Jingle I.
- Description
- Autism spectrum disorder (ASD) is brain enabled disorder representing behaviors in a repetitive manner and social deficits. In this paper, ASD is diagnosed using brain magnetic resonance imaging (MRI) enabled deep learning with a hybrid optimization algorithm. Also, the hybrid optimization algorithm utilized is hybrid sewing training optimization (HSTO) which trains ZFNet for ASD detection. Pre-processing of the MRI image is done by Wiener filter and the filtered image is fed for region of interest extraction. Moreover, pivotal region extraction is carried out by the proposed HSTO, which is finally allowed for ASD detection by ZFNet. The proposed HSTO is formed by combining sewing training-based optimization and hybrid leader-based optimization. Furthermore, the performance of HSTO_ZFNet is found by five performance metrics of accuracy with 95.7%, true negative rate with 92.6%, true positive rate with 93.7%, false negative rate with 68.7%, and false positive rate with75.9%. 2023, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
- Source
- Signal, Image and Video Processing, Vol-17, No. 8, pp. 4001-4008.
- Date
- 2023-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Autism spectrum disorder; Hybrid sewing training optimization; Magnetic resonance imaging; Pivotal region extraction; Sewing training-based optimization
- Coverage
- Prasad V., Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Jonnada Village, Andhra Pradesh, Vizianagaram District, 535005, India; Sriramakrishnan G.V., Department of CSE, Mohan Babu University, Sree Sainath Nagar, Andhra Pradesh, Tirupati, 517102, India; Diana Jeba Jingle I., Department of CSE, School of Engineering and Technology, Christ University, Karnataka, Bengaluru, India
- Rights
- Restricted Access
- Relation
- ISSN: 18631703
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Prasad V.; Sriramakrishnan G.V.; Diana Jeba Jingle I., “Autism spectrum disorder detection using brain MRI image enabled deep learning with hybrid sewing training optimization,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 27, 2025, https://archives.christuniversity.in/items/show/13986.