Abstract— It is very important to get the diagnosis tools in early stage of Alzheimer as it will increase patient’s chances of recovering and it enables the people attending the patient to take better care of him/her. Alzheimer’s disease (shortly AD) is an acute disease with many number of the human deaths mostly people over 60 years. There are number of techniques like blood test, psychological analysis and neuroimaging, are available for the detection of Alzheimer’s disease. Here we present details of work done in detection and classification of the Alzheimer’s disease using neuroimaging techniques. MRI (magnetic resonance imaging) scans of brains are used for detection and classification purpose. First stage is to preprocess the MRI images and then we segment it. Next we do feature extraction from segmented image. These features are stored for the last stage which is classification and detection. Classification and detection is done using artificial neural network (ANN) which is very reliable and accurate technique. Neural network is trained using number of sample data and extracted feature. This leads to more accurate results which will aid in early diagnosis of Alzheimer’s disease.
Keywords— Alzheimer’s disease, artificial neural network, classification, magnetic resonance imaging, neuroimaging, positron emission tomography.
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