Comparison of Several Texture Features for Tumor Detection in CE Images
暂无分享,去创建一个
[1] Max Q.-H. Meng,et al. Computer-based detection of bleeding and ulcer in wireless capsule endoscopy images by chromaticity moments , 2009, Comput. Biol. Medicine.
[2] Baopu Li,et al. A study on computer-aided diagnosis for wireless capsule endoscopy images , 2008 .
[3] Matti Pietikäinen,et al. A comparative study of texture measures with classification based on featured distributions , 1996, Pattern Recognit..
[4] Baopu Li,et al. Computer aided detection of bleeding in capsule endoscopy images , 2008, 2008 Canadian Conference on Electrical and Computer Engineering.
[5] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[6] Paul Swain,et al. Capsule endoscopy in the evaluation of patients with suspected small intestinal bleeding: Results of a pilot study. , 2002, Gastrointestinal endoscopy.
[7] Nikolaos G. Bourbakis,et al. Detecting abnormal patterns in WCE images , 2005, Fifth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'05).
[8] Stavros A. Karkanis,et al. Classification of Endoscopic Images Based on Texture Spectrum , 1999 .
[9] Douglas G. Adler,et al. Wireless Capsule Endoscopy , 2003 .
[10] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[11] Max Q.-H. Meng,et al. Texture analysis for ulcer detection in capsule endoscopy images , 2009, Image Vis. Comput..
[12] Matti Pietikäinen,et al. Gray Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2000, ECCV.
[13] Fernando Vilariño,et al. Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[14] Laurent Demanet,et al. Fast Discrete Curvelet Transforms , 2006, Multiscale Model. Simul..
[15] Giovanni Gallo,et al. Wireless Capsule Endoscopy video segmentation , 2009, 2009 IEEE International Workshop on Medical Measurements and Applications.
[16] Gunther Wyszecki,et al. Color Science: Concepts and Methods, Quantitative Data and Formulae, 2nd Edition , 2000 .
[17] Dimitris A. Karras,et al. Computer-aided tumor detection in endoscopic video using color wavelet features , 2003, IEEE Transactions on Information Technology in Biomedicine.
[18] B. Lewis,et al. Benign and Malignant Tumors of the Small Bowel , 2008 .
[19] Vassilis Kodogiannis,et al. Intelligent systems for computer-assisted clinical endoscopic image analysis , 2004 .
[20] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[21] Li WangDong-Chen He,et al. Texture classification using texture spectrum , 1990, Pattern Recognit..