Improving the Detection of Alzheimer's Disease with Advanced Artificial Diagnosis and Classification Methods

Alzheimer's disease (here after AD), also called dementia is a type of brain disease that impairs a person's ability to carry out daily activities. The current survey's primary goal is to present a thorough assessment and evaluation of the most recent research on AD detection and classification at an early stage using the most advanced Deep Learning (DL) technique. It is essential to identify AD patients early in order to put preventative measures in place. For the diagnosis of AD, numerous intricate segmentation techniques have been proposed. DL methods have drawn interest for application in AD classification and brain structure segmentation because they can produce significant results over vast data sets. As a result, methods based on DL are more popular right now than Machine Learning (ML) techniques. This article discusses the potential of DL to enhance early diagnosis and provides a quick overview of the literature on AD.