Review on - Brain Tumor Segmentation and Classification using Neural Network and SVM for MRI Images

MRI Brain tumor segmentation is difficult procedure to segment tumor area from MRI images because of inconsistency of anomalous tissues. There are number of techniques already presented for the effectively segmentation of brain tumor but still it is not achieved the required level of accuracy, abnormalities classification is not predictable. The whole process of segmentation is composed of many steps. Therefore we need an automated system for segmentation of brain images. The detection of tumor requires different steps which include pre-processing, feature extraction, segmentation and classification. After the segmentation, the segmented part which is achieved, the features are calculated and further used for classification of tumor by different techniques. The final step classification concludes that whether the person is diseased or not. In this review paper our main goal is to present the different brain tumor segmentation and classification techniques using MRI images.