A Comparative Analysis of Segmentation Techniques for Lung Cancer Detection

Abstract

Cancer is the major cause of death worldwide. Lung cancer is one of the most common types of cancer and is the main reason of cancer death. Lung cancer is defined as a detrimental lung tumor which is identified by unregulated cell development in the lung tissues. If this disease is not treated at early stages then this unregulated growth can spread into the neighboring tissues and other parts of the body. Detection of lung cancer at its early stage is very difficult because there are very less or may be no symptoms in the early stages of this disease and most of the cancer cases are usually diagnosed in its subsequent stages. Treatment of lung cancer in the early stages can improve the survival rate. And for this purpose it is an essential task to detect the lung cancer at its early stages. In this paper we have presented a comparative analysis of various image segmentation techniques for the detection of lung cancer. These methods include Thresholding methods, Marker Controlled watershed Segmentation, Edge detection and PDE based segmentation techniques.