Abstract
This paper presents a computer-based decision support system for automated interpretation of diagnostic heart images, which is made available via the Internet. The system is based on image processing techniques, artificial neural networks, and large and well validated medical databases. The performance of the neural networks detecting infarct and ischemia in different parts of the heart, measured as areas under the receiver operating characteristic curves, was in the range 0.76-0.92. These results indicate a high potential for the tool as a clinical decision support system. The system is currently evaluated by a group of pilot users in different European countries.
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© 2000 Springer-Verlag London
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Järund, A., Edenbrandt, L., Ohlsson, M., Borälv, E. (2000). Internet Based Artificial Neural Networks for the Interpretation of Medical Images. In: Malmgren, H., Borga, M., Niklasson, L. (eds) Artificial Neural Networks in Medicine and Biology. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0513-8_11
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DOI: https://doi.org/10.1007/978-1-4471-0513-8_11
Publisher Name: Springer, London
Print ISBN: 978-1-85233-289-1
Online ISBN: 978-1-4471-0513-8
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