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Mattias Ohlsson

Mattias Ohlsson

Professor

Mattias Ohlsson

WeAidU - a decision support system for myocardial perfusion images using artificial neural networks

Author

  • Mattias Ohlsson

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

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