Feature Extraction Methods in Alzheimer’s Disease: A Comparative Assessment

Cognitive decline and structural alterations in the brain are hallmarks of Alzheimer’s disease (AD). It is a neurodegenerative illness which progresses over time. One of the most important diagnostics and tracking tools for AD is Magnetic Resonance Imaging (MRI). The image processing method used to identify Alzheimer disease involves multiple steps such as pre-processing, segmentation, feature extraction, and classification. A crucial part of understanding illness causes and facilitating early diagnosis is feature extraction from MRI images. This paper reviews a variety of feature extraction approaches and a thorough assessment is conducted on several research papers that address feature extraction and classification methods used in image processing for identification of Alzheimer disease. The importance of feature extraction in Alzheimer’s MRI analysis along with the steps for detection of Alzheimer disease are briefly touched upon in the paper.