A Study of Segmentation Methods for Detection of Diseases from Brain MRI

This paper introduces study of segmentation methods which are used to locate volumetric objects such as brain tumor in Magnetic Resonance Imaging (MRI) images. The methods studied are Thresholding, Region growing, Clustering techniques, K-means Clustering, Fuzzy C means Clustering, an Automated Medical Image Segmentation Using a New Deformable Surface Model, Brain Tumor Detection Using Segmentation Based on Neuro Fuzzy Technique, An Image Segmentation Method Based on a Discrete Version of the Topological Derivative, Atlas-guided approaches, Morphological methods, Classifiers.