Polyp segmentation in NBI colonoscopy

Informatik aktuell

Volumn , Issue , 2009, Pages 252-256

  Gross, Sebastian ^a,b   Kennel, Manuel ^a   Stehle, Thomas ^a   Wulff, Jonas ^a   Tischendorf, Jens ^b   Trautwein, Christian ^b   Aach, Til ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

^b UNIVERSITY HOSPITAL RWTH AACHEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD VESSELS; EDGE DETECTION; ENDOSCOPY; NOISE ABATEMENT;

CLASSIFICATION SYSTEM; COLONOSCOPY; IMAGE VARIATIONS; MULTI-SCALE FILTERING; NARROW BANDS; POLYP SEGMENTATION; SEGMENTATION ALGORITHMS; SEGMENTATION PERFORMANCE;

IMAGE SEGMENTATION;

EID: 84879891212     PISSN: 1431472X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-93860-6_51     Document Type: Conference Paper

References (9)

1. Gesundheitsberichterstattung des Bundes. Krebs in Deutschland 2003-2004: Häu-figkeiten und Trends. 8th ed. Robert Koch Institut, Gesellschaft der epidemiologischen Krebsregister in Deutschland e.V.; 2008.
2. Tischendorf JJW, Wasmuth HE, Koch A, et al. Value of magnifying chromoen-doscopy and narrow band imaging (NBI) in classifying colorectal polyps: A prospective controlled study. Endoscopy. 2007;39(12):1092-6.
3. Bourbakis N. Detecting abnormal patterns in WCE images. Procs IEEE BIBE. 2005; p. 232-238.
4. Kang J, Doraiswami R. Real-time image processing system for endoscopic applications. In: Canadian Conference on Electrical and Computer Engineering (IEEE CCECE). vol. 3; 2003. p. 1469-1472.
5. Hwang S, Oh J, Tavanapong W, et al. Polyp detection in colonoscopy video using elliptical shape feature. Procs ICIP. 2007;2:II-465-II-468.
6. Stehle T, Gross S, Behrens A, et al. Classification of colon polyps in NBI endoscopy using vascularization features. Procs SPIE. 2009;To appear.
7. Perona P, Malik J. Scale-space and edge detection using anisotropic diffusion. IEEE Trans Pattern Anal Mach Intell. 1990;12(7):629-639.
8. Weickert J. Anisotropic Diffusion in Image Processing. Universität Kaiserslautern; 1996. Available from: http://www.mia.uni-saarland.de/weickert/ Papers/diss.ps.gz.
9. Gross S, Stehle T, Behrens A, et al. RealTimeFrame: A real time image processing solution for medical environments. In: 41. DGBMT-Jahrestagung Biomedizinische Technik (BMT). Aachen; 2007.