Directional wavelet based features for colonic polyp classification

•We test several wavelet based approaches for the classification of colon polyps.•A total of 11 differernt endoscopic polyp databases is used for our experiments.•The best results are achieved by extracting Weibull features from the subbands.•We propose three wavelet based feature extraction approac...

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Veröffentlicht in:	Medical image analysis Jg. 31; S. 16 - 36
Hauptverfasser:	Wimmer, Georg, Tamaki, Toru, Tischendorf, J.J.W., Häfner, Michael, Yoshida, Shigeto, Tanaka, Shinji, Uhl, Andreas
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 01.07.2016
Schlagworte:	Algorithms Colonic Polyps - classification Colonic Polyps - diagnostic imaging Colonoscopy - methods Contourlet Curvelet Humans Image Enhancement Image Interpretation, Computer-Assisted Machine Learning Pattern Recognition, Automated - methods Polyp classification Reproducibility of Results Sensitivity and Specificity Shearlet Wavelet Wavelet Analysis Wavelet Contourlet Curvelet Polyp classification Shearlet
ISSN:	1361-8415, 1361-8423, 1361-8423
Online-Zugang:	Volltext
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