Computer-aided lung nodule detection based on CT images

Lung cancer is the most common fatal malignancy in both men and women, early detection and treatment of lung cancer can greatly improve the survival rate of patient. This paper presents an automatic computer-aided detection (CAD) scheme that can identify the lung nodule at an early stage from CT images. The work is separated to several steps: the segmentation of lung parenchyma, the detection of suspicious nodule candidates, the feature extraction and classification, use adaptive threshold segmentation, math morphologic, Gaussian filter, Hessian matrix algorithms. Though clinical trials, the computer-aided detection scheme can help physician improve the diagnosis efficiency.