A Review of AI techniques using MRI Brain Images for Alzheimer's disease detection

The development of an efficient medical image processing technique to detect Alzheimer's disease in the early stages will be an important medical method practitioners. Image processing, machine learning and deep learning are necessary to assist in prevent the progression of Alzheimer's disease (AD). It can be detected when processing a Magnetic Resonance Image (MRI) for the brain, and analyzing its structure. In this paper, a review of different types of innovative techniques is presented. Starting with preprocessing techniques then segmentation image techniques for several brain regions or tissues. This identifiable section or tissue assists the doctor in determining if the patient is either normal or has a disease, and as well as assists in the improvement of computer aided diagnosis efficiency.