Image processing techniques for Lung Cancer Detection

Abstract

Lung cancer is one of the dangerous disease which causes cancer deaths in the world. A cancer is an abnormal growth of cells that can be typically derived from a single abnormal cell. Cancerous cells can increase and affect whole part of the lungs. So, it is important to find cancerous cells at the earlier stage and take necessary steps to cure. Now-a-days Magnetic Resonance Imaging and computed tomography (CT) are finding the application computer aided diagnosis and treatment planning. In this paper we use CT scan images. A Computed Tomography(CT) scan of the lung nodule is one of the sensitive method for detecting lung cancer. In this paper proposed different automated nodule recognition systems using image segmentation, feature extraction and processing.