In the contemporary world, many dangerous disease which are affecting human beings and new pandemic disease is also raising alarm to have an effective health care system. In this aspect the technology plays a major role in improving and optimizing the health care system. The diagnostic is done by taking blood test, urine test, and medical imaging like X-ray, CT scan, Ultrasound scan and MRI scan system. Among these, the paper focus will be emphasized on MRI imaging in identifying the brain tumor using image processing. In the proposed work the fuzzy C means(FCM) algorithm along with firefly algorithm optimized support vector machine (SVM) are used to classify the MRI brain tumor images. The results of these works are compared using the performance metrics such as accuracy, sensitivity, specificity and precision. The proposed method gives best results for the classification of MRI brain tumor images.
Support vector machine based aphasia classification of transcranial magnetic stimulation language mapping in brain tumor patients