Performance analysis in detecting brain tumor tissue using SVM in MR images

Tumor detection is important in medical images for medical practices. Image Segmentation becomes essential and challenging to visualize the tissue of human for analyzing the MR images. In brain MR images, the boundary of tumor tissue is irregular. Region based methods are extensively used for medical image segmentation, to locate the boundary of the tumor. Problems associated with non-linear distribution of real data, User interaction and poor convergence to the boundary region limited their usefulness. Clustering of brain tumor tissues, using Fuzzy C means is robust and effective for tumor localization. SVM is a most powerful tool and an accurate classifier, which can act as an expert assistant to medical practitioners. FCM clustering and classification using SVM is very promising in the field of brain tumor detection.