DocumentCode :
464467
Title :
Pit Pattern Classification of Zoom-Endoscopic Colon Images using Wavelet Texture Features
Author :
Häfner, M. ; Liedlgruber, M. ; Wrba, F. ; Gangl, A. ; Vécsei, A. ; Uhl, A.
Author_Institution :
Department of Gastroenterology and Hepatology, Medical University of Vienna, Austria
fYear :
2006
fDate :
17-19 July 2006
Firstpage :
1
Lastpage :
4
Abstract :
Wavelet-based techniques for an automated classification of magnifying endoscope images with respect to pit patterns of colon lesions are discussed and compared. Algorithms classically used for wavelet-based classification but developed originally for texture classification applications provide encouraging results but still lack of the accuracy required for sensible clinical usage.
Keywords :
colon cancer; magnifying endoscope; pit pattern classification; wavelet techniques;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Advances in Medical, Signal and Information Processing, 2006. MEDSIP 2006. IET 3rd International Conference On
Conference_Location :
Glasgow, UK
Print_ISBN :
978-0-86341-658-3
Type :
conf
Filename :
4225232
Link To Document :
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