A Comparative Study of Medical Image Segmentation Techniques for Brain Tumor Detection

Abstract

Segmentation is the important step in the analysis and interpretation of the medical CT and MR images. Segmentation is used to detect and extract the feature areas in the medical images. As per technology grows rapidly, it is always challenging to find the best medical image reconstruction technique. So, associated developments in the analysis and diagnosis have boosted medical imaging. Doctors and radiologist use Ultrasound, MRI, CT-Scan etc. for visualization and examination of internal human body structure without any surgery. In this paper, researchers focus on the review of segmentation of CT and MR images contained tumor. While doing the comparison, we consider the various parameters such as segmentation time, accuracy and sensitivity.