Recognizing Emphysema- A Neural Network Approach

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

Hans Knutsson, Magnus Borga, Mikael Lundberg, Ola

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Computer Vision | ICPR 2002 | Neural Network Classifier | Separate True Emphysema |

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Added	09 Nov 2009
Updated	09 Nov 2009
Type	Conference
Year	2002
Where	ICPR
Authors	Hans Knutsson, Magnus Borga, Mikael Lundberg, Ola Friman, Ulf Tylén

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Recognizing Emphysema- A Neural Network Approach

Computer Vision | ICPR 2002 | Neural Network Classifier | Separate True Emphysema |

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