Alzheimer's Disease Classification Using Deep CNN

Authors

  • Shikha Agrawal  Computer Department, AISSMS Institute of Information Technology, Pune, Maharashtra, India
  • Neha Sunil Pandharkar  Computer Department, AISSMS Institute of Information Technology, Pune, Maharashtra, India
  • Pooja Arvind Khandelwal  Computer Department, AISSMS Institute of Information Technology, Pune, Maharashtra, India
  • Pratiksha Ashok Pandhare  Computer Department, AISSMS Institute of Information Technology, Pune, Maharashtra, India
  • Janhavi Sanjay Deoghare  Computer Department, AISSMS Institute of Information Technology, Pune, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT217371

Keywords:

Machine Learning, Deep Learning, Alzheimer's Disease, Convolution Neural Network. MR Images.

Abstract

Especially in the world, the deep learning algorithm has become a technique of choice for analyzing medical images rapidly. Alzheimer's disease (AD) is regarded to be the most prevalent cause of dementia, and only 1 in 4 individuals with Alzheimer's are estimated to be diagnosed correctly on time. However, there is no refractory available treatment, the disorders can be managed when the loss is still mild and the treatment is most effective when it is initiated before significant downstream damage, i.e. mild cognitive impairment (MCI) or earlier steps. Physiological, neurological analysis, neurological and cognitive tests are clinically diagnosed with AD. A better diagnostic needs to be developed, which is addressed in this paper. We concentrate on Alzheimer's disease in this article and discuss different methods are available to detect Alzheimer's. Reviewed the different data sets available for studying data on Alzheimer's disease and finally comparing appropriate work done in this area.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-06-30

Issue

Volume 7, Issue 3, May-June-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Shikha Agrawal, Neha Sunil Pandharkar, Pooja Arvind Khandelwal, Pratiksha Ashok Pandhare, Janhavi Sanjay Deoghare, " Alzheimer's Disease Classification Using Deep CNN , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 3, pp.325-331, May-June-2021. Available at doi : https://doi.org/10.32628/CSEIT217371