A New Framework for Early Detection and Diagnosis of Lung Lesion using Various Classifiers

Abstract

Lung malignant is one of the most dangerous forms of cancer because it claims more than a million precious lives every year. So, lung nodule detection in chest Computed Tomography (CT) images becomes very necessary in the present clinical world. Thus the Computer Aided Diagnosis (CAD) arrangement is particularly important for early finding of lung cancer in this proposed CAD system Initially the preprocessing technique is performed for enhancing, subsequently the lung extraction, lung border correction and lung segmentations are performed for finding the region of interest. After that, the feature values are calculated for the particular ROI. Finally, using the classifications techniques the overall performance of the proposed models is calculated.