Brain MR Images Classification for Alzheimer’s Disease

Alzheimer’s Disease (AD) is the most prevailing type of dementia. The prevalence AD estimated to be around 5% after 65 years old and staggering 30% for more than 85 in developed countries. destroys brain cells causing people lose their memory, mental functions ability continue daily activities. findings this study are likely aid specialists decision-making process by using patients’ Magnetic Resonance Imaging (MRI) distinguish patients with from Normal Control (NC). Performance evolution was applied 346 images Alzheimer's Neuroimaging Initiative (ADNI) collection. Deep Belief Network (DBN) classifier used fulfill classification function. Weights were test proposed method's recognition capacity, network trained a sample training set. As result, offeres new method identifying disease utilizing automated categorization. In tests, it performed admirably With 98.46% accuracy achieved NC studied classes when combining Gray Level Co-occurrence Matrix (GLCM) features DBN.