Medical Imaging-based Techniques for Alzheimer's Disease Detection: A Survey

Alzheimer's disease (AD) detection corresponds one of the most powerful and challenging tasks in medical imaging processing. This paper describes the survey of recent AD detection techniques in the last ten years. The process of AD detection can include different stages such as preprocessing, feature extraction, feature selection, dimensionality reduction, segmentation and classification. In this survey, we review the recent findings and future trends and we set out the various types of AD detection techniques with their major contributions. The performances of the most important AD detection techniques are compared and discussed according to the applied algorithms, approaches and databases (e.g. OASIS, ADNI and MIRIAD).