Segmentation of Pulmonary Nodules in Lung CT Images based on Active Contour Model

Abstract

Segmentation of pulmonary nodules in computer- aided diagnosis systems is a challenging problem. Currently, a method of image segmentation using an active contour model is already being widely applied in several fields. This paper analyzed the difficulty of segmentation of pulmonary nodules, focusing on an active contour model and an improved model. Then this paper compared and analyzed the advantages and performance of these models. At last some methods used to improve segmentation accuracy of active contour models were summarized.