Investigating Brain Tumor Segmentation and Detection Techniques

Abstract

Brain tumor is a life-threatening problem and hampers the normal functioning of the human body. For proper diagnosis and efficient treatment planning, it is necessary to detect the brain tumor in early stages. Digital image processing plays a vital role in analysis of medical images. Segmentation of brain tumor involves separation of abnormal brain tissues from normal tissues of brain. In the past, various researchers have proposed the semi and fully automatic methods for detection and segmentation of brain tumor. In this article, the different techniques available for segmentation have been presented. This article focuses on the work done by many researchers in the past to partially or fully automate the job of segmenting the brain tumor. The consolidated details of the reviewed literature have been tabulated. Simplicity and degree of human supervision decides the clinical acceptance of a particular segmentation technique.