Abstract
In this paper, 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, we extract the lung and the blood vessel regions using the fuzzy clustering algorithm, then we analyze the features of these regions. In the diagnosis procedure, we define diagnostic rules utilizing the extracted features which support the determination of the candidate nodule locations.
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References
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Y.Kawata, K.Kanazawa, S.Toshioka, N.Niki, H.Satoh, H.Omatsu, K.Eguchi, N.Moriyama: “Computer Aided Diagnosis System for Lung Cancer Based on Helical CT Images”, Lecture Notes in Computer Science 1311, Image Analysis and Processing, Springer, pp.420–427, 1997.
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© 1998 Springer-Verlag Berlin Heidelberg
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Kanazawa, K. et al. (1998). Computer-aided diagnostic system for pulmonary nodules using helical CT images. In: Wells, W.M., Colchester, A., Delp, S. (eds) Medical Image Computing and Computer-Assisted Intervention — MICCAI’98. MICCAI 1998. Lecture Notes in Computer Science, vol 1496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0056230
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DOI: https://doi.org/10.1007/BFb0056230
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