Magnetic Resonance Images Based Brain Tumor Segmentation- A critical survey

Abstract

In medical image anatomy, brain tumor extraction occupies an important role. This is used for medical diagnosis and thus leading towards the treatment of disease. The objective of the paper is to present various MR brain image segmentation techniques ranging from elementary threshold methods to complicated methods such as deformable methods, hybrid methods. The motivation of this study is early detection and identification of the brain tumor. In this paper, the main focus is on gliomas tumor which is the most recurrent type of malignant brain tumors. This work presents various research studies in brain tumor segmentation along with deep learning techniques such as Convolutional Neural Network.