Improved fuzzy c-means clustering algorithm for automatic detection of lung nodules

The image features of pulmonary nodules in the CT image are inconspicuous, the shape and location is different. Computer-aided detection system can increase the detection rate of lung nodules and reduce the error rate, which can assist the clinicians to distinguish between benign and malignant nodules. This paper presents an improved fuzzy c-means (FCM) method based on the human visual attention model. The simulation result shows the effects of the new method used in computer-aided diagnosis.