Applications of Machine Learning and Deep Learning Models in Brain Imaging Analysis
- Title
- Applications of Machine Learning and Deep Learning Models in Brain Imaging Analysis
- Creator
- Joseph A.; Chandra J.; Banerjee B.; Rangaswamy M.; Reddy J.K.
- Description
- Brain imaging is an umbrella term including many non-invasive techniques that objectively monitor brain function. Such monitoring leads to understanding how the brain works by presenting selected stimuli. More importantly, brain function monitoring allows physicians to diagnose and predict brain disorders. In the last decade, several machine learning and deep learning models have been developed by researchers to process and analyse brain imaging data for the diagnosis, detection, and prediction of brain disorders, such as stroke, schizophrenia, autism, psychosis, and Alzheimers. This chapter reviews the various applications and properties of machine learning and deep learning models for brain image analysis. The chapter also highlights the deep learning models that have either understood the test of time or shown the promise to solve challenging problems involving brain imaging data. The review also discusses various open issues yet to have practical solutions or methodologies with the help of machine learning and deep learning. The research covers a wide range of imaging modalities, disorders and models to expose researchers and practitioners in neurological disorders and machine learning and deep learning to each others field, hopefully leading to fruitful collaborations and practical solutions for processing brain images. 2024 selection and editorial matter, Anitha S. Pillai and Bindu Menon; individual chapters, the contributors.
- Source
- Machine Learning and Deep Learning in Neuroimaging Data Analysis, pp. 43-56.
- Date
- 2024-01-01
- Publisher
- CRC Press
- Coverage
- Joseph A., Christ University, Pune, India; Chandra J., Christ University, Bangalore, India; Banerjee B., Institute for Intelligent Systems, Department of Electrical & Computer Engineering, University of Memphis, Memphis, TN, United States; Rangaswamy M., Christ University, Bangalore, India; Reddy J.K., Christ University, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-100381554-9; 978-103219068-6
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Joseph A.; Chandra J.; Banerjee B.; Rangaswamy M.; Reddy J.K., “Applications of Machine Learning and Deep Learning Models in Brain Imaging Analysis,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 22, 2025, https://archives.christuniversity.in/items/show/18059.