Recognizing Emphysema — A Neural Network Approach

I
ICPR
2002
16th International Conference on Pattern Recognition (ICPR'02) - Volume 1
Abstract - Recognizing Emphysema — A Neural Network Approach

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Ola Friman Articles by Magnus Borga Articles by Mikael Lundberg Articles by Ulf Tylén Articles by Hans Knutsson

16th International Conference on Pattern Recognition (ICPR'02) - Volume 1

Quebec City, QC, Canada

August 11-August 15

ISBN: 0-7695-1695-X

	ASCII Text	x
	Ola Friman, Magnus Borga, Mikael Lundberg, Ulf Tylén, Hans Knutsson, "Recognizing Emphysema — A Neural Network Approach," Pattern Recognition, International Conference on, vol. 1, pp. 10512, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 1, 2002.

	BibTex	x
	@article{ 10.1109/ICPR.2002.1044781, author = {Ola Friman and Magnus Borga and Mikael Lundberg and Ulf Tylén and Hans Knutsson}, title = {Recognizing Emphysema — A Neural Network Approach}, journal ={Pattern Recognition, International Conference on}, volume = {1}, year = {2002}, issn = {1051-4651}, pages = {10512}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1044781}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - Recognizing Emphysema — A Neural Network Approach SN - 1051-4651 SP EP A1 - Ola Friman, A1 - Magnus Borga, A1 - Mikael Lundberg, A1 - Ulf Tylén, A1 - Hans Knutsson, PY - 2002 KW - null VL - 1 JA - Pattern Recognition, International Conference on ER -

Ola Friman, Linköping University

Magnus Borga, Linköping University

Mikael Lundberg, Linköping University

Ulf Tylén, Göteborg University

Hans Knutsson, Linköping University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1044781

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.

Citation:

Ola Friman, Magnus Borga, Mikael Lundberg, Ulf Tylén, Hans Knutsson, "Recognizing Emphysema — A Neural Network Approach," icpr, vol. 1, pp.10512, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 1, 2002

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.