A machine learning based approach for detection of Alzheimer's disease using analysis of hippocampus region from MRI scan

Abstract

Alzheimer's Disease is a progressive and irreversible neurological disease and is the most common cause of Dementia in people of the age 65 years and above. Detection of Alzheimer's disease at prodromal stage is very important as it can prevent serious damage to the patient's brain. In this paper, a method to detect Alzheimer's Disease from MRI using Machine Learning approach is proposed. The proposed approach extracts texture and shape features of the Hippocampus region from the MRI scans and a Neural Network is used as Multi-Class Classifier for detection of various stages of Alzheimer's Disease. The proposed approach is under implementation and is expected to give better accuracy as compared to conventional approaches.