
Mattias Ohlsson
Professor

WeAidU - a decision support system for myocardial perfusion images using artificial neural networks
Author
Summary, in English
This paper presents a computer-based decision support system for automated interpretation of diagnostic heart images (called WeAidU), which is made available via the Internet. The system is based on image processing techniques, artificial neural networks (ANNs) and large well-validated medical databases. We present results using artificial neural networks, and compare with two other classification methods, on a retrospective data set containing 1320 images from the clinical routine. The performance of the artificial neural networks detecting infarction and ischemia in different parts of the heart, measured as areas under the receiver operating characteristic curves, is in the range 0.83-0.96. These results indicate a high potential for the tool as a clinical decision support system. (C) 2003 Elsevier B.V. All rights reserved.
Department/s
- Computational Biology and Biological Physics - Has been reorganised
Publishing year
2004
Language
English
Pages
49-60
Publication/Series
Artificial Intelligence in Medicine
Volume
30
Issue
1
Document type
Journal article
Publisher
Elsevier
Topic
- Biophysics
Keywords
- infarction
- myocardial ischemia
- myocardial perfusion images
- myocardial
- computer-assisted
- artificial neural networks
- diagnosis
Status
Published
ISBN/ISSN/Other
- ISSN: 1873-2860