Karpagam JCS ISSN: 2582 – 8525 (Print), 2583 – 3669 (Online)

Deep Learning Neural Network Approaches for the Detection of Alzheimer’s Disease in Early Stage

Abstract
Alzheimer's Disease can be a primary cause for dementia in aged people. MCI-Mild Cognitive Impairment which is another sort of dementia. It is a prior phase of AD. It especially concerns aged populations. There is no proper medication and drugs to treat AD. Therefore, early detection of AD is necessary. There are couples of brains imaging strategies like MRI, PET and FMRI those can be used to realize various abnormalities in brain. Ongoing studies explain that deep models are more appropriate for prediction of AD in contrary to conventional Al techniques. This paper discussed about different Deep Learning (DL) techniques for prior identification of AD.

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