DETECTION OF BREAST CANCER USING ADVANCE GMM SEGMENTATION AND MULTI SVM CLASSIFIER

Breast cancer is a malignant neoplasia produced by a cellular division dysfunction. Amammography is a particular form of radiography, using radiation levels between specific intervals with a purpose to acquire breast images to diagnose an eventual presence of structures that indicates a disease, especially cancer. In this proposed system we have detected cancer using GMM Segmentation along with SVM Classifier from mammographic images and to evaluate the state of cancer. We have evaluated the performance of our proposed system on various parameters. We have taken a dataset of different images and evaluated the result on this dataset. It can be seen that the proposed system, shows very good results on the various input images. The proposed system can classify the MRI image into three categories. It has concluded that the proposed system shows the accuracy of 96.67%.