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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2004: Knowledge-Based Intelligent Information and Engineering Systems pp 491–497Cite as

Fuzzy Analysis of X-Ray Images for Automated Disease Examination

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3214))

Abstract

This paper presents the design of a fuzzy decision system for Cancer and Tuberculosis detection based on X-ray lung images. The system is in a tuning stage based on advices from medical experts. With a training set of 40 positive and 10 negative images, the system can classify correctly 42% positive cases with no false negative results. This is a promising result; however the system needs further tuning with additional features and concise examination rules.

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References

  1. Beucher, S., Meyer, F.: The Morphological Approach of Segmentation: The Watershed Transformation. In: Dougherty, E. (ed.) Mathematical Morphology in Image Processing, pp. 43–481. Marcel Dekker, New York (1992)

    Google Scholar 

  2. Bezdek, J.C., Pal, S.K. (eds.): Fuzzy Models For Pattern Recognition. IEEE Press, Los Alamitos (1992)

    Google Scholar 

  3. Freeman-Hargin, J.: Rule-based systems and Identification Trees, http://ai-depot.com/Tutorial/RuleBased.html

  4. Klir, G.J., Folger, T.A.: Fuzzy Sets, Uncertainty and Information. Prentice Hall, Englewood Cliffs (1988)

    MATH  Google Scholar 

  5. MedPix Medical Image Database, http://rad.usuhs.mil/medpix/

  6. Mitchell, T.M.: Machine Learning. McGraw Hill, New York (1997)

    MATH  Google Scholar 

  7. Nguyen, N.T., et al.: Watersnakes: Energy-Driven Watershed Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(3), 330–342 (2003)

    Article  Google Scholar 

  8. Nguyen, Q.T.: Private correspondence

    Google Scholar 

  9. Nickolls, P.: Private correspondence

    Google Scholar 

  10. Watman, C., Le, K.: Gravity Segmentation of Human Lungs from X-ray Images for Sickness Classification. In: Fourth International Conference on Intelligent Technologies (InTech 2003), pp. 428–434 (2003)

    Google Scholar 

  11. Zadeh, L.A.: Fuzzy Sets. Information and Control 8, 338–353 (1965)

    Article  MATH  MathSciNet  Google Scholar 

  12. Zimmermann, H.J., Zadeh, L.A., Gaines, B.R. (eds.): Fuzzy Sets and Decision Analysis. Elsevier Science, New York (1984)

    MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Systems Engineering, RSISE, Australian National University, Canberra, ACT, 2000, Australia

    Craig Watman

  2. School of Information Sciences and Engineering, University of Canberra, University Drive, Bruce, ACT, 2601, Australia

    Kim Le

Authors
  1. Craig Watman
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  2. Kim Le
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Cite this paper

Watman, C., Le, K. (2004). Fuzzy Analysis of X-Ray Images for Automated Disease Examination. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30133-2_64

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  • DOI: https://doi.org/10.1007/978-3-540-30133-2_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23206-3

  • Online ISBN: 978-3-540-30133-2

  • eBook Packages: Springer Book Archive

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