Statistic and morphological image processing for automated lung cancer identification

Abstract

Among the population of Jordan, lung cancer is the second most usually diagnosed form of the disease. Over the last several years, there has been an increasing amount of data that demonstrates that early identification of lung cancer may allow for more rapid treatment action. These pieces of evidence have been accumulated over the course of the last few years. Screening programs for lung cancer have been established all over the globe as a result of this, which has supplied the motivation for their implementation. For the goal of finding regions of lung cancer, a computer-aided detection (CAD) system is presented within the scope of this investigation. The objective of this system is to make use of computed tomography (CT) pictures. It is now being deployed as a