Fireman, Z., Glukhovsky, A., et al. (2002). Wireless cap-
sule endoscopy. Israel Medical Association Journal,
4:717719.
Gokturk, S. and Tomasi, C. o. (2001). A statistical 3-d pat-
tern processing method for computer-aided detection
of polyps in ct colonography. IEEE Transactions on
Medical Imaging, 20(12):1251–1260.
Hai, V., Echigo, T., et al. (2006). Adaptive control of video
display for diagnostic assistance by analysis of cap-
sule endoscopic images. In ICPR, volume III, pages
980–983.
Hulka, J. and Reich, H. (1994). Textbook of Laparoscopy.
W.B. Saunders, Phipladelphia, PA, 2 edition.
Hunter, J. and Sackier, J. (1993). Minimally invasive
surgery. McGraw-Hill, New York.
Iddan, G. and Meron, G. e. a. (2000). Wireless capsule
endoscopy. Nature, 405:4–7.
Karkanis, S., Iakovidis, D., et al. (2001). Detection of le-
sions in endoscopic video using textural descriptors on
wavelet domain supported by artificial neural network
architectures. In ICIP, volume II, pages 833–836.
Kato, H. and Baron, J. (2003). Electronic Videoendoscopy.
Jpapan: Harwood Academic Publisher.
Kudo, S. and Kashida, H. e. a. (2000). Colonoscopic diag-
nosisi and management of nonpolypod and early col-
orectal cancer. World Journal of Surgery, 24(9):1081–
1090.
Li, P., Chan, K., et al. (2005). Learning a multi-size patch-
based hybrid kernel machine ensemble for abnormal
region detection in colonoscopic images. In CVPR,
volume II, pages 670–675.
Liang, J., Higgins, W., et al. (2004). Introduction to the spe-
cial section on virtual endoscopy. IEEE Transactions
on Medical Imaging, 23(11):1333–1334.
Ministry of Health Singapore (1990). MOH Annual Report.
Ministry of Health Singapore.
Nagasako, K., Fijimori, Y., et al. (1998). Atlas of gas-
troenterologic endoscopy by High-Resolution Video-
endoscopy. Igaku-Shoin Ltd. Tokyo.
Nagata, S., Tanaka, K., et al. (2000). Pit pattern diag-
nosis of early colorectal carcinoma by magnifying
colonoscopy: clinical and histological implications.
International Journal of Oncology, 16(5):927–934.
O’Brien, M., Winawer, S., et al. (1990). The national
polyp study: Patient and polyp characteristics asso-
ciated with high-grade dysplasia in colorectoral ade-
nomas. Gastroenterology, 98:371–379.
Pabby, A., Schoen, R., et al. (2005). Analysis of colorec-
tal cancer occurence during surveillance colonoscopy
in the dietary prevention trial. Gastrointestinal en-
doscopy, 61(3):385–391.
Paris Workshop Participants (2003). The Paris endospcopic
classification of superficial neoplastic lesions. Gas-
trointestinal Endoscopy (Supplement), 58(6):3–23.
Paschos, G. (2001). Perceptually uniform color spaces for
color texture analysis: empirical evaluation. IEEE
Trans. Image Processing, 10:932–937.
Rembacken, B., Fuji, T., et al. (2000). Flat and de-
pressed colonic neoplasms: A pospective study of
1000 colonoscopies in the uk. Lancet, 17:1157–1167.
Saitoh, Y., Waxman, A., et al. (2001). Prevalence and dis-
tinctive biologic features of flat colorectal adenomas
in a north american population. Gastroenterology,
120:1657–1665.
Srivastava, S., Rodriguez, J., et al. (2005). Analysis of con-
focal microendoscope images for automatic detection
of ovarian cancer. In ICIP, volume I, pages 1113–
1116.
Swain, M. and Ballard, D. (1991). Color indexing. Journal
of computer vision, 7(1):11–32.
Thoeni, R. and Laufer, I. (1994). Textbook of gastrointesti-
nal radiology, chapter Polyps and Cancer, page 1160.
Philadelphia, PA: Sanders.
Tjoa, M. and Krishnan, S. (2003). Feature extraction for the
analysis of colon status from the endoscopic images.
BioMedical Engineering OnLine, 2(9).
U.S. Department of Health and Human Services (2003).
Cdc, the importance of prevention and early detection
cdc. http://www.cdc.gov/cancer/colorectal/.
Vapnik, V. (1995). The nature of statistical learning theory.
Springer.
Vilari˜no, F. (2006). A machine learning approach for in-
testinal motility assessment with capsule endoscopy.
PhD thesis, Dept. Computer Science, Universitat Au-
tonoma de Barcelona, Spain.
Vilari˜no, F., Lacey, G., et al. (2007). Automatic labeling
of colonoscopy video for cancer detection. LNCS,
4477:290–297.
Vilari˜no, F., Spyridonos, P., et al. (2006). Automatic de-
tection of intestinal juices in wireless capsule video
endoscopy. In Pattern Recognition, ICPR, volume 4,
pages 719– 722.
Vilari˜no, F., Spyridonos, P., et al. (2009). Intestinal motil-
ity assessment with video capsule endoscopy: Au-
tomatic annotation of phasic intestinal contractions.
IEEE Trans. on Medical Imaging (in press).
Winawer, S., Fletcher, R., et al. (1997). Colorectal cancer
screening: Clinical guideliness and rationale. Gas-
troenterology, 112:594–642.
Winawer, S., Zauber, A., et al. (1993). Prevention of col-
orectal cancer by colonoscopy polypectomy. New
England Journal of Medicine, 329:977–981.
Won, C., Park, D., et al. (2002). Efficient use of MPEG-7
edge histogram descriptor. ETRI, 24(1):23–30.
Zheng, M., Krishnan, S., et al. (2005). A fusion-based clin-
ical decision support for disease diagnosis from endo-
scopic images. Computers in Biology and Medicine,
35(3):259–274.
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