Early detection of Alzheimer's Disease using Different Types of Neural Network Architecture
Abstract & Details
Research Area
Machine Learning
Keywords
Alzheimer’s disease
Convolutional Neural Network (CNN)
Magnetic resonance imaging (MRI).
Abstract
Alzheimer’s disease is a condition that leads to, progressive neurological brain disorder and destroys cells of the brain thereby causing an individual to lose their ability to continue daily activities and also hampers their mentality. Diagnostic symptoms are experienced by patients usually at later stages after irreversible neural damage occurs. Detection of AD is challenging because sometimes the signs that distinguish AD MRI data, can be found in MRI data of normal healthy brains of older people. Even though this disease is not completely curable, earlier detection can aid in promising treatment and prevent permanent damage to brain tissues. Age and genetics are the greatest risk factors for this disease. This paper presents the latest reports on AD detection based on different types of Neural Network Architectures.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Deepthi Kamath | Dayananda Sagar Academy of Technology and Management |
| 2 | Misba Firdose Fathima | Dayananda Sagar Academy of Technology and Management |
| 3 | Monica KP | Dayananda Sagar Academy of Technology and Management |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Kamath, Deepthi, Fathima, Misba Firdose, & KP, Monica (2021). Early detection of Alzheimer's Disease using Different Types of Neural Network Architecture. International Journal of Advance Research and Innovative Ideas In Education, 7(2), 1631-1639.
MLA Style
Kamath, Deepthi, et al. "Early detection of Alzheimer's Disease using Different Types of Neural Network Architecture." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 2, 2021, pp. 1631-1639.
IEEE Style
Deepthi Kamath, Misba Firdose Fathima, and Monica KP, "Early detection of Alzheimer's Disease using Different Types of Neural Network Architecture," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 2, pp. 1631-1639, 2021.
Vancouver Style
Kamath Deepthi, Fathima Misba Firdose, KP Monica. Early detection of Alzheimer's Disease using Different Types of Neural Network Architecture. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(2):1631-1639.
Harvard Style
Kamath, Deepthi, Fathima, Misba Firdose, & KP, Monica (2021) 'Early detection of Alzheimer's Disease using Different Types of Neural Network Architecture', International Journal of Advance Research and Innovative Ideas In Education, 7(2), pp. 1631-1639.
Chicago Style
Kamath, Deepthi, Misba Firdose Fathima, and Monica KP. "Early detection of Alzheimer's Disease using Different Types of Neural Network Architecture." International Journal of Advance Research and Innovative Ideas In Education 7, no. 2 (2021): 1631-1639.
Turabian Style
Kamath, Deepthi, Misba Firdose Fathima, and Monica KP. "Early detection of Alzheimer's Disease using Different Types of Neural Network Architecture." International Journal of Advance Research and Innovative Ideas In Education 7, no. 2 (2021): 1631-1639.
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