Alzheimer's Disease: A Survey

  • Harshitha
  • Gowthami Chamarajan
  • Charishma Y
Keywords: Alzheimer's Diseases, Convolution Neural Network, Deep Neural Networks

Abstract

Alzheimer's Diseases (AD) is one of the type of dementia. This is one of the harmful disease which can lead to death and yet there is no treatment. There is no current technique which is 100% accurate for the treatment of this disease. In recent years, Neuroimaging combined with machine learning techniques have been used for detection of Alzheimer's disease. Based on our survey we came across many methods like Convolution Neural Network (CNN) where in each brain area is been split into small three dimensional patches which acts as input samples for CNN. The other method used was Deep Neural Networks (DNN) where the brain MRI images are segmented to extract the brain chambers and then features are extracted from the segmented area. There are many such methods which can be used for detection of Alzheimer’s Disease.

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Author Biographies

Harshitha

Department of Information Science and Engineering. Dayananda Sagar Academy of Technology and Management, Bangalore. Karnataka, India.

Gowthami Chamarajan

Department of Information Science and Engineering. Dayananda Sagar Academy of Technology and Management, Bangalore. Karnataka, India.

Charishma Y

Department of Information Science and Engineering. Dayananda Sagar Academy of Technology and Management, Bangalore. Karnataka, India.

This is an open access article, licensed under CC-BY-SA

Creative Commons License
Published
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2021-06-22
    Downloads : 110
How to Cite
[1]
Harshitha, G. Chamarajan, and C. Y, “Alzheimer’s Disease: A Survey”, International Journal of Artificial Intelligence, vol. 8, no. 1, pp. 33-39, Jun. 2021.
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Articles

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