Performance Evaluation of Tumor Detection Techniques

Abstract

Automatic segmentation of tumor plays a vital role in diagnosis and surgical planning. This paper deals with techniques which providing solution for detecting hepatic tumor in Computed Tomography (CT) images. The main aim of this work is to analyze performance of tumor detection techniques like Knowledge Based Constraints, Graph Cut Method and Gradient Vector Flow active contour. These three techniques are computed using sensitivity, specificity and accuracy. From the evaluated result, knowledge based constraints method is better than other graph cut method and gradient vector flow active contour.