Classification of alzheimer’s disease using combination of each recognition method in MR scans

Early accurate detection of Alzheimer disease (AD) and its prognostic stage, i.e., Mild Cognitive Impairment (MCI) is getting more and more vital. A novel approach is applied for the diagnosis of very mild (CDR0.5) to mild (CDR-1) Alzheimer disease patients from normal controls combining morphometric features along with MMSE (Mini Mental State Examination) score. The combined features are fed into recently proposed Self Adaptive Resource Allocation Network (SRAN) and Linear SVM classifier after getting rid of curse of dimensionality using principal component analysis.