Recognizing Emphysema " A Neural Network Approach

Authors:
Ola Friman;Magnus Borga;Mikael Lundberg;Ulf Tylén;Hans Knutsson
Affiliations:
-;-;-;-;-
Venue:
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Year:
2002

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Cited 1

Multi-level Classification of Emphysema in HRCT Lung Images Using Delegated Classifiers

MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I

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Abstract

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.