Comparative Study of Efficient Methodology for Tumor Detection

Abstract

            Tumor detection in human plays a vital role to be identified at an early stage and with more accuracy of the tumors. Tumors can be detected using many imaging techniques available. However, computer aided algorithms can be used on images for effective classification of tumors and it’s stages. Using any one of the efficient computer aided technique, it is easy to segment abnormal tissues in the brain with more accuracy. With the help of these techniques the tumor in the brain can be detected. The MRI images are taken, preprocessed and fed into the algorithm for detection of tumors after segmentation process. From the segmented results, features are extracted and classified accordingly based on the classification techniques. For this purpose many algorithms to detect the tumor cells have been proposed. In this paper a comparative study was done to find out the efficient methodology to detect the tumor cells using MRI with more accuracy.