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Methods for polyp detection in colonoscopy videos: a review
- Colonoscopy is one of the best methods for screening colon cancer. As the automatic detection of polyps in endoscopic images is a challenging task for image processing, a variety of research groups have proposed methods that try to fulfill this task to develop a system which supports the doctors during examination. However, the problem is still "at least partially" not solved. This paper gives a summary of 16 different polyp detection methods published in the last ten years. We found out that the major draw-back of many approaches is the lack of representative video data, which hinders comparison and evaluation of the published methods.
Verfasserangaben: | Stefan Ameling, Stephan Wirth, Dietrich Paulus |
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URN: | urn:nbn:de:kola-2637 |
Schriftenreihe (Bandnummer): | Arbeitsberichte, FB Informatik (2008,14) |
Dokumentart: | Ausgabe (Heft) zu einer Zeitschrift |
Sprache: | Deutsch |
Datum der Fertigstellung: | 16.12.2008 |
Datum der Veröffentlichung: | 16.12.2008 |
Veröffentlichende Institution: | Universität Koblenz, Universitätsbibliothek |
Datum der Freischaltung: | 16.12.2008 |
Freies Schlagwort / Tag: | Colonoscopy; Darmspiegelung; Koloskopie; Polypendetektion; polyp detection |
Seitenzahl: | 10 |
Institute: | Fachbereich 4 |
Fachbereich 4 / Institut für Computervisualistik | |
DDC-Klassifikation: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
Lizenz (Deutsch): | Es gilt das deutsche Urheberrecht: § 53 UrhG |