Fuzzy Analysis of X-ray images for automated disease examination

Craig Watman, Kim Le

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    1 Citation (Scopus)

    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
    Original languageEnglish
    Title of host publicationInternational Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2004
    EditorsMircea Gh Negoita, Robert J Howlett, Lakhmi C Jain
    Place of PublicationGermany
    PublisherSpringer
    Pages491-497
    Number of pages7
    ISBN (Print)9783540232063
    Publication statusPublished - 2004
    EventKnowledge-Based Intelligent Information and Engineering Systems - Wellington, New Zealand
    Duration: 22 Sep 200424 Sep 2004

    Conference

    ConferenceKnowledge-Based Intelligent Information and Engineering Systems
    CountryNew Zealand
    CityWellington
    Period22/09/0424/09/04

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  • Cite this

    Watman, C., & Le, K. (2004). Fuzzy Analysis of X-ray images for automated disease examination. In M. G. Negoita, R. J. Howlett, & L. C. Jain (Eds.), International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2004 (pp. 491-497). Springer.