Diagnosis of Lung Cancer using MATLAB

Cancer is a wide spreading disease in these days. The mortality rate increases due to cancer. There are many types of cancers known. Among them lung cancer is one of the most prevalent disease. Lung tumour is characterized by uncontrolled cell development in tissues of the lung. If this is left undiscovered, the tumour develops rapidly and damages the entire lungs. Lungs is the primary organ for oxygenation of blood. For this process lungs need oxygen and it gives out carbon-dioxide, hence the process we called breathing. Lung cancer keeps on changing on various medical factors hence lung cancer can be divided into two types (1) small cell lung tumour and (2) non-small cell lung tumour. It is essential to detect lung cancer at earlier stage. The most easiest way to diagnose lung cancer is using Computed Tomography(CT) images. Recently many new technology have been developed in Image Processing. In this paper we propose the easier image processing techniques for the detection of cancerous lungs using MATLAB. The process involves conversion of input image into gray scale image, segmentation, filtering process. Here the severity of the lung cancer is also determined.