Detection of Alzheimer's Disease using Deep Learning

Charishma Y; Gowthami Chamarajan; Harshitha G M

Detection of Alzheimer's Disease using Deep Learning

June 2021

Vol-7, Issue-3

Paper ID: 14591

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Information Science

Keywords

Alzheimer's Disease Deep Learning

Abstract

Alzheimer’s Disease (AD) is a neurological disease and the most common cause of dementia in the age group 65 years and above. The accurate and timely diagnosis of the AD is crucial in order to prevent the progression of this irreversible disease. This paper concentrates on a method to detect Alzheimer’s from MRI scans using machine learning approach. The proposed approach focuses on the hippocampal region of the brain. The texture features such as entropy, homogeneity, energy, contrast, correlation and variance are extracted from the hippocampus region using the Gray Level Co-Occurrence Matrix (GLCM). The area and shape feature are extracted using the Moment Invariants. CNN is used for image training and error-back propagation (EBP) in Artificial Neural Network (ANN) is used as the classifier for detection of various stages of AD. The proposed system gives an accuracy of 95% for CNN and 90% for ANN.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Charishma Y	Dayananda Sagar Academy of Technology and Management
2	Gowthami Chamarajan	Dayananda Sagar Academy of Technology and Management
3	Harshitha G M	Dayananda Sagar Academy of Technology and Management

How to Cite

Use the following formats to cite this article in your research.

APA Style

Y, Charishma, Chamarajan, Gowthami, & M, Harshitha G (2021). Detection of Alzheimer's Disease using Deep Learning. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 2302-2311.

MLA Style

Y, Charishma, et al. "Detection of Alzheimer's Disease using Deep Learning." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 2302-2311.

IEEE Style

Charishma Y, Gowthami Chamarajan, and Harshitha G M, "Detection of Alzheimer's Disease using Deep Learning," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 2302-2311, 2021.

Vancouver Style

Y Charishma, Chamarajan Gowthami, M Harshitha G. Detection of Alzheimer's Disease using Deep Learning. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):2302-2311.

Harvard Style

Y, Charishma, Chamarajan, Gowthami, & M, Harshitha G (2021) 'Detection of Alzheimer's Disease using Deep Learning', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 2302-2311.

Chicago Style

Y, Charishma, Gowthami Chamarajan, and Harshitha G M. "Detection of Alzheimer's Disease using Deep Learning." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 2302-2311.

Turabian Style

Y, Charishma, Gowthami Chamarajan, and Harshitha G M. "Detection of Alzheimer's Disease using Deep Learning." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 2302-2311.