Recognizing Emphysema- A Neural Network Approach

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.

• Type: Conference
• Year: 2002
• Where: ICPR
• Authors: Hans Knutsson, Magnus Borga, Mikael Lundberg, Ola Friman, Ulf Tylén
• Keywords: Computer Vision, ICPR 2002, Neural Network Classifier, Separate True Emphysema