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16th International Conference on Pattern Recognition (ICPR'02) - Volume 1
Recognizing Emphysema — A Neural Network Approach
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
Ola Friman, Linköping University
Magnus Borga, Linköping University
Mikael Lundberg, Linköping University
Ulf Tylén, Göteborg University
Hans Knutsson, Linköping University
An accurate and fully automatic method for detecting and quantifying emphysema in CT-images is presented. The method is based on an image preprocessing step followed by a neural network classifier trained to separate true emphysema from artifacts. The proposed approach is shown to be superior to an established method when applied on real patient data.
Citation:
Ola Friman, Magnus Borga, Mikael Lundberg, Ulf Tylén, Hans Knutsson, "Recognizing Emphysema — A Neural Network Approach," icpr, vol. 1, pp.10512, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 1, 2002
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