Abstract

To find out the fractured area in MRI Images Classification of MRI Images is used which is considered as a primary step. This paper presents an impressive procedure in the classification of MRI images to recognize the self-activating description to issue specialists and radiologists with well-organized results for selection devising. Therefore, an effort was made and a technique is organized that effects the images being pre-processed to remove noisy data using Gaussian Filter, partitioning using FCM algorithm, Statistical Feature extraction with Kurtosis, Mean, median and classification of MRI images is carried out with face, head, skull, foot, Chest images using Probabilistic Neural Network(PNN), Support Vector Machine(SVM) and nearest neighbor(KNN)algorithm. 300 different MRI figures are gathered from the Apollo organization, Hyderabad. Overall of 93.1 % is acquired from the analysis of MRI images using SVM compared to other techniques.

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