Segmentation of brain tumor from MRI image blocks using SVM classifier

Tumors are one of the most dangerous diseases that are difficult to cure completely when detected after its initial stage. Early detection of this will help to get proper treatment. Tumors cause changes in tissues which can be detected using many imaging techniques like Magnetic Resonance Imaging (MRI). The system is proposed for the autonomous segmentation of tumor tissues from normal tissues in MRI images using Gray Level Co-Occurrence Matrix (GLCM) features extraction and Support Vector Machine (SVM) classifier.