A Study on Lung Cancer Detection by Image Processing

Abstract

The paper presents that (1) we apply image processing technique into lung tissue information recognition, the key and hardest task is auto-detecting the tiny nodules, which may present the information of early lung cancer; and (2) the newly developed ridge detection algorithm is to diagnose indeterminate nodules correctly, allowing curative resection of early-stage malignant nodules and avoiding the morbidity and mortality of surgery for benign nodules. The algorithm has been compared to some traditional image segmentation algorithms. All the results are satisfactory for diagnosis