An Efficient Segmentation Framework for Continuous CT Images

In the present, the applications of computed tomography (CT) imaging for medical diagnosis become more and more important. However, there are a lot of continuous images produced from the CT equipment, and it will cost much time for the physician to check and analyze one by one. In this paper, we focused on the continuous lung CT images. We proposed the efficient framework of texture acquisition and contour segmentation by some useful image processing methods. The experiment results show that the performance of this system is satisfactory.