short review and analysis of latest advances in support vector machine for Alzheimer’s disease detection
Automated and accurate detection of Alzheimer’s disease (AD) is of importance for the analysis. Various brain imaging techniques are now available in hospitals. Recently, researchers have proposed many different and innovative methods based on support vector machine (SVM) and computer vision to improve the performance of automatic classification of AD and healthy brain images.This review focused on discussing the strengths and limitations of earlier classification techniques. Besides analyzing these literatures, the paper also provides a critical evaluation of the surveyed literature that reveals new hotspots of research.
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