Ulf Tylén

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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 em-physema from artifacts. The proposed approach is shown to be superior to an established method when applied on real patient data.
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