WeAidU - a decision support system for myocardial perfusion images using artificial neural networks
(2004) In Artificial Intelligence in Medicine 30(1). p.49-60- Abstract
- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/289568
- author
- Ohlsson, Mattias LU
- organization
- publishing date
- 2004
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- infarction, myocardial ischemia, myocardial perfusion images, myocardial, computer-assisted, artificial neural networks, diagnosis
- in
- Artificial Intelligence in Medicine
- volume
- 30
- issue
- 1
- pages
- 49 - 60
- publisher
- Elsevier
- external identifiers
-
- wos:000188290200003
- pmid:14684264
- scopus:0346218243
- ISSN
- 1873-2860
- DOI
- 10.1016/S0933-3657(03)00050-2
- language
- English
- LU publication?
- yes
- id
- 8b86ef57-b396-448c-9019-57f0b2b1ab39 (old id 289568)
- date added to LUP
- 2016-04-01 11:48:54
- date last changed
- 2024-04-22 18:11:22
@article{8b86ef57-b396-448c-9019-57f0b2b1ab39, abstract = {{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.}}, author = {{Ohlsson, Mattias}}, issn = {{1873-2860}}, keywords = {{infarction; myocardial ischemia; myocardial perfusion images; myocardial; computer-assisted; artificial neural networks; diagnosis}}, language = {{eng}}, number = {{1}}, pages = {{49--60}}, publisher = {{Elsevier}}, series = {{Artificial Intelligence in Medicine}}, title = {{WeAidU - a decision support system for myocardial perfusion images using artificial neural networks}}, url = {{http://dx.doi.org/10.1016/S0933-3657(03)00050-2}}, doi = {{10.1016/S0933-3657(03)00050-2}}, volume = {{30}}, year = {{2004}}, }