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Fuzzy analysis of X-ray images for automated disease examination

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Date

2004

Authors

Watman, Craig
Le, Kim

Journal Title

Journal ISSN

Volume Title

Publisher

Springer Verlag

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Research Projects

Organizational Units

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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.

Description

Keywords

Computerised medical repository, Data mining, Fuzzy system, Image segmentation, Pattern recognition

Citation

URI

https://hdl.handle.net/1885/733797741

Collections

ANU Research Publications

Source

Type

Book chapter

Book Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Entity type

Publication

Access Statement

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DOI

10.1007/978-3-540-30133-2_64

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