217
Bowel Polyp Detection in Capsule Endoscopy Images
Coimbra, M.T. and Cunha, J.P.S. 2006. MPEG-7 visual descriptors—Contributions for
automated feature extraction in capsule endoscopy. IEEE Transactions on Circuits
and Systems for Video Technology, 16(5): 628–637.
Cunha, J.S., Coimbra, M., Campos, P., and Soares, J.M. 2008. Automated topographic
segmentation and transit time estimation in endoscopic capsule exams. IEEE
Transactions on Medical Imaging, 27(1): 19–27.
Gevers, T. and Stokman, H. 2004. Robust histogram construction from color invariants for object recognition. IEEE Transactions on Pattern Analysis and Machine
Intelligence, 26(1): 113–118.
Gevers, T., Voortman, S., and Aldershoft, F. 2005. Color feature detection and classification by learning. Proceedings of the IEEE International Conference on Image
Processing, 2: 714–717.
Gevers, T., Weijer, J.V.D., and Stokman, H. 2006. Color Image Processing: Emerging
Applications. Boca Raton, FL: CRC Press.
Given Imaging Ltd. 2009. Corporate overview. Available at http://www.givenimaging.com. Accessed July 12, 2010.
Hospital Authority of Hong Kong. 2006. Highlights on cancer statistics 2003. Hong
Kong Cancer Registry, 1–29.
Karkanis, S.A., Iakovidis, D.K., Maroulis, D.E., and Korras, D.A. 2003. Computer-aided
tumor detection in endoscopic video using color wavelet features. IEEE
Transactions on Information Technology in Biomedicine, 7(3): 141–152.
Li, B. and Meng, M.Q.-H. 2007. Analysis of wireless capsule endoscopy images using
chromaticity moments. Paper read at the IEEE International Conference on
Robotics and Biomimetics, Sanya,China, December 15–18, 2007.
Li, B. and Meng, M.Q.-H. 2009a. Computer aided detection of bleeding regions in capsule
endoscopy images. IEEE Transactions on Biomedical Engineering, 56(4): 1032–1039.
Li, B. and Meng, M.Q.-H. 2009b. Computer-based detection of bleeding and ulcer
in wireless capsule endoscopy images by chromaticity moments. Computers in
Biology and Medicine, 39(2): 141–147.
Li, B. and Meng, M.Q.-H. 2009c. Small bowel tumor detection for wireless capsule
endoscopy images using textural features and support vector machine. Paper
read at the IEEE/RSJ International Conference on Intelligent Robots and Systems,
St. Louis, MO. October 11–15, 2009.
Li, B. and Meng, M.Q.-H. 2009d. Texture analysis for ulcer detection in capsule endoscopy images. Image and Vision Computing, 27(9): 1336–1342.
Swain, M.S. and Ballard, D.H. 1991. Color indexing. International Journal of Computer
Vision, 7(1): 11–32.
Szczypinski, P.M., Sriram, R.D., Sriram, P.V.J., and Reddy, D.N. 2009. A model of
deformable rings for interpretation of wireless capsule endoscopic videos.
Medical Image Analysis, 13(4): 312–324.
Teague, M.R. 1980. Image analysis via the general theory of moments. Journal of the
Optical Society of America, 70(8): 920–930.
Ye, B. and Peng, J. 2002. Invariance analysis of improved Zernike moments. Journal of
Optics A: Pure and Applied Optics, 4: 606–614.
Zabulis, X., Argyros, A.A., and Tsakiris, P.D. 2008. Lumen detection for capsule
endoscopy. Paper read at the IEEE/RSJ International Conference on Intelligent
Robots and Systems, Nice, France, September 22–26, 2008.
Zhang, D. and Lu, G. 2003. Evaluation of MPEG-7 shape descriptors against other
shape descriptors. Multimedia Systems, 9: 15–30.
Bowel Polyp Detection in Capsule Endoscopy Images
Coimbra, M.T. and Cunha, J.P.S. 2006. MPEG-7 visual descriptors—Contributions for
automated feature extraction in capsule endoscopy. IEEE Transactions on Circuits
and Systems for Video Technology, 16(5): 628–637.
Cunha, J.S., Coimbra, M., Campos, P., and Soares, J.M. 2008. Automated topographic
segmentation and transit time estimation in endoscopic capsule exams. IEEE
Transactions on Medical Imaging, 27(1): 19–27.
Gevers, T. and Stokman, H. 2004. Robust histogram construction from color invariants for object recognition. IEEE Transactions on Pattern Analysis and Machine
Intelligence, 26(1): 113–118.
Gevers, T., Voortman, S., and Aldershoft, F. 2005. Color feature detection and classification by learning. Proceedings of the IEEE International Conference on Image
Processing, 2: 714–717.
Gevers, T., Weijer, J.V.D., and Stokman, H. 2006. Color Image Processing: Emerging
Applications. Boca Raton, FL: CRC Press.
Given Imaging Ltd. 2009. Corporate overview. Available at http://www.givenimaging.com. Accessed July 12, 2010.
Hospital Authority of Hong Kong. 2006. Highlights on cancer statistics 2003. Hong
Kong Cancer Registry, 1–29.
Karkanis, S.A., Iakovidis, D.K., Maroulis, D.E., and Korras, D.A. 2003. Computer-aided
tumor detection in endoscopic video using color wavelet features. IEEE
Transactions on Information Technology in Biomedicine, 7(3): 141–152.
Li, B. and Meng, M.Q.-H. 2007. Analysis of wireless capsule endoscopy images using
chromaticity moments. Paper read at the IEEE International Conference on
Robotics and Biomimetics, Sanya,China, December 15–18, 2007.
Li, B. and Meng, M.Q.-H. 2009a. Computer aided detection of bleeding regions in capsule
endoscopy images. IEEE Transactions on Biomedical Engineering, 56(4): 1032–1039.
Li, B. and Meng, M.Q.-H. 2009b. Computer-based detection of bleeding and ulcer
in wireless capsule endoscopy images by chromaticity moments. Computers in
Biology and Medicine, 39(2): 141–147.
Li, B. and Meng, M.Q.-H. 2009c. Small bowel tumor detection for wireless capsule
endoscopy images using textural features and support vector machine. Paper
read at the IEEE/RSJ International Conference on Intelligent Robots and Systems,
St. Louis, MO. October 11–15, 2009.
Li, B. and Meng, M.Q.-H. 2009d. Texture analysis for ulcer detection in capsule endoscopy images. Image and Vision Computing, 27(9): 1336–1342.
Swain, M.S. and Ballard, D.H. 1991. Color indexing. International Journal of Computer
Vision, 7(1): 11–32.
Szczypinski, P.M., Sriram, R.D., Sriram, P.V.J., and Reddy, D.N. 2009. A model of
deformable rings for interpretation of wireless capsule endoscopic videos.
Medical Image Analysis, 13(4): 312–324.
Teague, M.R. 1980. Image analysis via the general theory of moments. Journal of the
Optical Society of America, 70(8): 920–930.
Ye, B. and Peng, J. 2002. Invariance analysis of improved Zernike moments. Journal of
Optics A: Pure and Applied Optics, 4: 606–614.
Zabulis, X., Argyros, A.A., and Tsakiris, P.D. 2008. Lumen detection for capsule
endoscopy. Paper read at the IEEE/RSJ International Conference on Intelligent
Robots and Systems, Nice, France, September 22–26, 2008.
Zhang, D. and Lu, G. 2003. Evaluation of MPEG-7 shape descriptors against other
shape descriptors. Multimedia Systems, 9: 15–30.