Radial Basis Function Neural Network Based Classifier For Diagnosing Of MCI/AD Using Multimodal Neuroimaging
نویسندگان
چکیده
Neuroimaging has played a very important role in the diagnosis of brain degeneration disorders, such as Alzheimer’s disease (AD) and Mild Cognitive Impairment (MCI). To identify different stages of Alzheimer’s disease and efficient analysis system has been developed for magnetic resonance Imaging (MRI) and positron emission tomography (PET) Neuroimages using radial basis function neural network (RBFNN) classifier.Normal, MCI and AD identification by using RBFNN classifier. The proposed model performance was assessed based on three parameters such as sensitivity, specificity and accuracy.
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