A Quantitative Approach for Determining Lung Cancer Using CT scan Images

In males the most common reason for the death nowadays is lung cancer. From the past few years computed tomography has gained its popularity in detection of lung cancer. The application of image processing has increased day by day. This results in new inventions in diagnosing disease accurately. Accuracy obtained by radiologist in classification of lung cancer may tend to decrease when dealing with large volume of images. This paper proposes a method for classification of lung cancer based on two categories, four shapes and four margins. This study shows the outcome of applying image processing operation like, preprocessing, segmentation and feature extraction. Proposed work uses the support vector machine classifier as classification technique and proven to achieve high accuracy.