MRI Brain Tumor Segmentation Methods- A Review

Abstract

Medical image processing and its segmentation is an active and interesting area for researchers. It has reached at
the tremendous place in diagnosing tumors after the discovery of CT and MRI. MRI is an useful tool to detect the brain
tumor and segmentation is performed to carry out the useful portion from an image. The purpose of this paper is to
provide an overview of different image segmentation methods like watershed algorithm, morphological operations,
neutrosophic sets, thresholding, K-means clustering, fuzzy C-means etc using MR images.