Detection and Recognition of Lung Nodules in Medical Images Using Chaotic Ant Colony Algorithm

Abstract

With the aggravation of air pollution, the frequent occurrence of foggy weather in our country, as well as the increasing number of smokers year by year, the incidence and mortality of lung cancer are increasing. Therefore, it is of great significance to detect and identify lung nodules from the thoracic area containing background and noise. In this paper, a lung nodule detection and recognition method combining the chaotic ant colony algorithm is proposed, which has effectively eliminated interferences such as cross-shaped and strip-shaped blood vessels and achieved accurate detection and recognition of lung nodules. The results show that under the premise of ensuring that the correct nodule is detected and recognized, the false positive rate has been reduced, and the algorithm has also achieved good convergence.