Classification and Predication of Alzheimer’s Disease using Deep Learning

Abstract

Alzheimer’s disease is an incurable, progressive neurological brain  disorder. Alzheimer’s disease causes the brain to shrink and brain cells to die. Early detection of Alzheimer’s disease can help patient with proper treatment and prevent severe brain damage. In this paper a deep convolutional neural network model by analysing MRI scans for diagnosis of Alzheimer disease at early stage. performed morphological operations on MRI images to achieve better training set. Segmentation is done on training set that extracts features and gives significant information about Alzheimer’s Disease (AD) and Mild Cognitive Impairment (MCI). This will eventually help doctors to predict the stage of disease and patient will get proper treatment accordingly .Our method uses machine learning algorithms to predict the Alzheimer disease.