An Automated Approach for Brain Tumor Identification using ANN Classifier

Detection of the tumor and separating it from the background MRI image is most important task in brain image analysis. It needs clinical experts to meet the standard level of accuracy. This limitation is overcome by the application of computer aided technology in medical field for tumor identification and segmentation. In this paper we proposed an efficient tumor segmentation model by using Fuzzy-C-Mean (FCM) clustering, multiple feature extraction using Gabor Wavelets and artificial neural network classifier. The proposed system performance is examined with 40 trained images with 60 tested MRI scanned medical dataset. The proposed system performance is examined in term of accuracy with respect to the confusion matrix. From the result section we proved that we meet required system accuracy level upto 85%.