@inbook{443d0c9e0e5a433a9aae75d539d7ff09,
title = "Fuzzy analysis of X-ray images for automated disease examination",
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.",
keywords = "Computerised medical repository, Data mining, Fuzzy system, Image segmentation, Pattern recognition",
author = "Craig Watman and Kim Le",
year = "2004",
doi = "10.1007/978-3-540-30133-2_64",
language = "English",
isbn = "9783540232063",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "491--497",
editor = "Negoita, {Mircea Gh.} and Howlett, {Robert J.} and Jain, {Lakhmi C.}",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
}