Fuzzy analysis of X-ray images for automated disease examination
Date
Authors
Watman, Craig
Le, Kim
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Verlag
Access Statement
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
Citation
Collections
Source
Type
Book Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Entity type
Publication