Computer aided detection of bleeding in capsule endoscopy images

Canadian Conference on Electrical and Computer Engineering

Volumn , Issue , 2008, Pages 1963-1966

  Li, Baopu ^a   Meng, Max Q H ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Bleeding; Capsule endoscopy image; Chromaticity moment; Local binary pattern

Indexed keywords

COLOR; DIAGNOSIS; DIGESTIVE SYSTEM; ENDOSCOPY; IMAGE ENHANCEMENT; NEURAL NETWORKS; TECHNOLOGY; TEXTURES;

BLEEDING; CAPSULE ENDOSCOPY; CAPSULE ENDOSCOPY IMAGE; CHROMATICITY MOMENT; COLOR FEATURES; COLOR TEXTURE FEATURES; COLOR TEXTURES; COMPUTER-AIDED DETECTION CAD); COMPUTERIZED METHODS; ELECTRICAL AND COMPUTER ENGINEERING; GASTRO-INTESTINAL TRACT; HSI COLOR SPACE; HUMAN DIGESTIVE TRACT; ILLUMINATION INVARIANTS; IMAGE DATA SETS; INVASIVENESS; LOCAL BINARY PATTERN; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; NEW APPROACHES; NEW IDEAS; NEW TECHNOLOGIES; REGION DETECTION; SMALL BOWELS; TCHEBICHEF POLYNOMIALS; TEXTURE REPRESENTATION;

OPTICAL PROPERTIES;

EID: 52149117607     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCECE.2008.4564887     Document Type: Conference Paper

References (13)

1. "Highlights on cancer statistics," published by the Hong Kong Cancer Registry, Hospital Authority of Hong Kong, March 2003.
2. D. G. Adeler, C. J.Gostout, "Wireless Capsule Endoscopy," Hospital Physican , pp.14-22, May, 2003.
3. R.D.Francis et al, " Sensitivity and specificity of the red blood identification(RBIS) in video capsule endoscopy," 3Rd, Int. Conf. on Capsule Endoscopy, Feb.2004, Miami, FL, USA.
4. J. Berens, M. Mackiewicz, and D. Bell. "Stomach, intestine and colon tissue discriminators for wireless capsule endoscopy images," Proc. of SPIE. Conference on Medical Imaging, volume 5747, Bellingham, WA, 2005,pp.283-290
5. M.T. Coimbra. J.P.S. Cunha, "MPEG-7 Visual Descriptors - Contributions for Automated Feature Extraction in Capsule Endoscopy," IEEE Transactions on Circuits and Systems for Video Technology, Volume 16, Issue 5, pp.628 - 637, 2006.
6. F.Vilarino, et al, "Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy," 18th International Conference on Pattern Recognition, Volume: 4, pp. 719-722, 2006
7. R. Mukundan, S.H. Ong, P.A. Lee, "Image analysis by Tchebichef moments," IEEE Trans. Image Processing. 10 (9),pp. 1357-1364, 2001.
8. T. Gevers J.V.D. Weijer, H.Stokman, Color Image Processing: Emergening Applications," CRC Press, Chapter 1;
9. B.Li, Max Q.-H. Meng, "Computer aided detection of bleeding regions for capsule endoscopy images," the Chinese University of Hong Kong.Feb.2008
10. T. Ojala, M. Pietikainen, D.Harwood, "A comparative study of texture measures with classification based on feature distributions," pattern recognition, vol.29, pp.51-59.1996
11. T. Ojala, M. Pietikainen and T. Maenpaa "Multiresolution gray-scale and rotation invariant texture classification with local binary pattern" IEEE Trans. PAMI, vol.24, No.7,pp971-987,2002
12. M.Boulougoura, E.Wadge, et al, "Intelligent systems for computer-assisted clinical endoscopic images analysis," Proceedings of Second International Conference on Biomedical Engineering, Austria, Feb.16-18, 2004, pp. 405-408.
13. S.A. Karkanis et.al., "Computer-Aided tumor detction in endoscopic video using color wavelet features," IEEE Trans. Info. Tech. in Biomedicine. vol. 7, no.3, pp.141-152. Sep. 2003