Different Stages Of Alzheimer’s Disease Classification Using Deep Convolutional Neural Network

Abstract

Alzheimer’s disease is a progressive disorder that causes the brain cells to waste away and
die that is the most common typical explanation for insanity. It causes the continues decline in
thinking and also behaviour, and disrupts a person’s to perform function independently. The early
stage of Alzheimer’s disease is MCI. There are two types of MCI is available. That is Early Mild
Cognitive Impairment (EMCI) and Late Mild Cognitive Impairment (LMCI). T1 weighted MRI image
is employed as a dataset that has been downloaded from Alzheimer’s Disease Neuroimaging Initiative
(ADNI). This work build and validate the deep learning algorithm for predicting the individual
diagnosis of Alzheimer’s disease (AD), Mild Cognitive Impairment (MCI) and Cognitive Normal (CN)
based on T1 w Magnetic Resonance Imaging (MRI) input images. Using Convolutional Neural
Network (CNN) architecture, we successfully classified different stages of AD with highest accuracy