A Review on Image Classification Techniques to classify Neurological Disorders of brain MRI

Abstract

Neurological disorders have more than 600 brain disease. Therefore it is very complicated task to detect and classify the brain MRI data. To classify the brain MR image by many classification techniques such as K-nearest neighbor (KNN), decision tree (DT), Support vector machine (SVM), neural network and convolutional neural network, we have study and compered K-nearest neighbor, support vector machine, decision tree, neural network and convolution neural network . In this review paper we explain which classification technique is better for detection of brain MRI data set. The detection for normal and abnormal brain MRI, the CNN improve the accuracy as compare to other classification.