Computer Aided Dianosis System for Lung Cancer Based on Helical CT Images

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In this study, we present a computer assisted automatic diagnostic system for lung cancer that detects nodule candidates at an early stage from helical CT images of the thorax. Our diagnostic system consists of analytic and diagnostic procedures. In the analysis procedure, first we extract the lung and the pulmonary blood vessel regions using the fuzzy clustering algorithm, then we analyze the features of these regions using image processing technique. In the diagnosis procedure, we define diagnostic rules utilizing the extracted features which support the determination of the candidate nodule locations. We show the effectiveness of our system by giving the result of its application to image data for maass screening.