Computer Aided Detection of Nodule from Computed Tomography Images of Lung

Abstract

Lung diseases must be identified and treated in their early stages; otherwise, they can lead to serious irreversible conditions. Interstitial Lung Diseases and the presence of lung nodules are among the most common but difficult conditions to identify in their preliminary stages. Detecting these diseases early can significantly aid in the fast recovery of patients. Early detection can be achieved by combining various detection methods to identify abnormalities. One advantage is that abnormalities can be identified in their early stages using various existing imaging systems. Therefore, by employing different imaging techniques, it is possible to identify diseases. This can be tested using available databases and existing results, and the accuracy of the same can be evaluated to a certain extent. This paper aims to compare existing systems that are popular for this purpose and introduce a combinational system that may lead to exponential growth in the applications of medical imaging techniques. Early detection and diagnosis of lung nodules can be accomplished with the help of medical imaging systems.