Computer-aided detection of retroflexion in colonoscopy

Yi Wang, Wallapak Tavanapong, Johnny Wong, Junghwan Oh, Piet C. De Groen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations


Colonoscopy is the most popular screening tool for colorectal cancer. Recent studies reported that retroflexion during colonoscopy improved polyp yields. Retroflexion is an endoscope maneuver that enables visualization of internal mucosa along the shaft of the endoscope, enabling visualization of the mucosa area that is difficult to see with typical forward viewing. This paper describes our new method that detects endoscopic images showing retroflexion. This problem has not been investigated in the literature. We propose new region features that encapsulate important properties of endoscope appearance during retroflexion. Our experimental results on 25 colonoscopy videos show that trained Decision Tree classifiers can effectively identify retroflexion in the rectum at 92.0% accuracy and 94.4% precision.

Original languageEnglish (US)
Title of host publicationProceedings of the 24th International Symposium on Computer-Based Medical Systems, CBMS 2011
StatePublished - 2011
Event24th International Symposium on Computer-Based Medical Systems, CBMS 2011 - Bristol, United Kingdom
Duration: Jun 27 2011Jun 30 2011

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN (Print)1063-7125


Other24th International Symposium on Computer-Based Medical Systems, CBMS 2011
Country/TerritoryUnited Kingdom

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications


Dive into the research topics of 'Computer-aided detection of retroflexion in colonoscopy'. Together they form a unique fingerprint.

Cite this