Fuzzy Analysis of X-ray images for automated disease examination

Craig Watman, Kim Le

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

2 Citations (Scopus)


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
Number of pages7
ISBN (Print)9783540232063
Publication statusPublished - 2004
EventKnowledge-Based Intelligent Information and Engineering Systems - Wellington, New Zealand
Duration: 22 Sept 200424 Sept 2004


ConferenceKnowledge-Based Intelligent Information and Engineering Systems
Country/TerritoryNew Zealand


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