Lung image segmentation using modified k-means algorithm

Abstract

Lung Cancer is also referred as Lung Carcinoma, characterized by unrestrained cell growth in tissues of lung. It has high mortality rate when compared to other cancers. The main reason of Lung Cancer is smoking and exposure to secondhand smoke. A fine Lung Cancer detection system must sense the Lung Cancer in its premature stages. Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are the two tools used to capture the Lung image. The various stages in the Lung Cancer detection include Image Capturing, Image Enhancement, Image Segmentation and Feature Extraction. In this, various image processing techniques are utilized for lung cancer detection and performance of each technique is compared.