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