Detection of Alzheimers Disease Stages Based on Deep Learning Architectures from MRI Images
- Title
- Detection of Alzheimers Disease Stages Based on Deep Learning Architectures from MRI Images
- Creator
- Antony F.; Anita H.B.; George J.A.
- Description
- Acquiring, utilizing and storing information of any sort is known as memory. The power of memory makes the life of mankind to be more alive and reasonable. Thus, the loss of one such great capability is a rather painful phase of human life which can be destructed by multiple reasons such as diseases and disorders. One such disease is Alzheimers disease (AD). Alzheimers disease progressively damages brain cells and degrades mental activity that leads to mental illness. The accurate diagnosis of AD at earlier stages will help to prevent the disease before the brain gets damaged completely. In analyzing neurodegenerative disorders, neuroimaging plays an important role in diagnosing subjects with AD, mild cognitive impairment (MCI), and cognitively normal (CN). In this study, advanced deep learning (DL) architectures with brain imaging techniques were employed to maximize the diagnostic accuracy of the model developed. The proposed method works with convolutional neural networks (CNNs) to analyze the MRI input-output modalities. The method is evaluated using Alzheimers Disease Neuroimaging Initiative (ADNI) dataset. Binary classification is done on AD and MCI subjects from CN. This method is efficient to analyze multiple classes with a less amount of training data. 2023 selection and editorial matter, Jyotismita Chaki; individual chapters, the contributors.
- Source
- Diagnosis of Neurological Disorders Based on Deep Learning Techniques, pp. 47-60.
- Date
- 2023-01-01
- Publisher
- CRC Press
- Coverage
- Antony F., Department of Computer Science, Christ (Deemed to be University), Bangalore, India; Anita H.B., Department of Computer Science, Christ (Deemed to be University), Bangalore, India; George J.A., Department of Computer Science, Christ (Deemed to be University), Bangalore, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-100087217-0; 978-103232524-8
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Antony F.; Anita H.B.; George J.A., “Detection of Alzheimers Disease Stages Based on Deep Learning Architectures from MRI Images,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/18475.