Abstract
This paper describes a detection method of pulmonary nodules (i.e. possible cancers) from chest X-ray computed tomography (CT) scans. The method consists of two phases. First, initial nodule candidates are detected by use of circle- and ring-shaped discriminant filters. Next, false positives such as blood vessels are reduced by use of radially-arranged rectangular discriminant filters and a view-based support vector machine. The proposed method is applied to actual CT scans, and experimental results are shown.
