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

Författare

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.

Publiceringsår

2004

Språk

Engelska

Sidor

49-60

Publikation/Tidskrift/Serie

Artificial Intelligence in Medicine

Volym

30

Issue

1

Dokumenttyp

Artikel i tidskrift

Förlag

Elsevier

Ämne

  • Biophysics

Nyckelord

  • infarction
  • myocardial ischemia
  • myocardial perfusion images
  • myocardial
  • computer-assisted
  • artificial neural networks
  • diagnosis

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 1873-2860