DocumentCode :
383437
Title :
Recognizing emphysema - a neural network approach
Author :
Friman, Ola ; Borga, Magnus ; Lundberg, Mikael ; Tylén, Ulf ; Knutsson, Hans
Author_Institution :
Dept. of Biomed. Eng., Linkoping Univ., Sweden
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
512
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.
Keywords :
computerised tomography; lung; medical image processing; CT-images; artifacts; emphysema; image preprocessing; neural network classifier; Biomedical engineering; Computed tomography; Data mining; Diseases; Image segmentation; Lungs; Neural networks; Pixel; Radiology; Reproducibility of results;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1044781
Filename :
1044781
Link To Document :
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