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.
| Author: | Stefan Ameling, Stephan Wirth, Dietrich Paulus |
|---|---|
| URN: | urn:nbn:de:kola-2637 |
| Series (Serial Number): | Arbeitsberichte, FB Informatik (2008,14) |
| Document Type: | Part of Periodical |
| Language: | German |
| Date of Publication (online): | 2008/12/16 |
| Date of first Publication: | 2008/12/16 |
| Publishing Institution: | Universität Koblenz, Universitätsbibliothek |
| Release Date: | 2008/12/16 |
| Tag: | Colonoscopy; Darmspiegelung; Koloskopie; Polypendetektion; polyp detection |
| Page Number: | 10 |
| Institutes: | Fachbereich 4 |
| Fachbereich 4 / Institut für Computervisualistik | |
| Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
| Licence (German): | Es gilt das deutsche Urheberrecht: § 53 UrhG |

