Detection of ulcerative colitis severity in colonoscopy video frames

Ashok Dahal; Junghwan Oh; Wallapak Tavanapong; Johnny Wong; Piet C. De Groen

doi:10.1109/CBMI.2015.7153617

Detection of ulcerative colitis severity in colonoscopy video frames

Ashok Dahal, Junghwan Oh, Wallapak Tavanapong, Johnny Wong, Piet C. De Groen

Medicine - Gastro, Hepatology, Nutrition Division

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Scopus citations

Abstract

Ulcerative colitis (UC) is a chronic inflammatory disease characterized by periods of relapses and remissions affecting more than 500,000 people in the United States. The therapeutic goals of UC are to first induce and then maintain disease remission. However, it is very difficult to evaluate the severity of UC objectively because of non-uniform nature of symptoms associated with UC, and large variations in their patterns. To address this, we objectively measure and classify the severity of UC presented in optical colonoscopy video frames based on the image textures. To extract distinct textures, we are using a hybrid approach in which a new proposed feature based on the accumulation of pixel value differences is combined with an existing feature such as LBP (Local Binary Pattern). The experimental results show the hybrid method can achieve more than 90% overall accuracy.

Original language	English (US)
Title of host publication	2015 13th International Workshop on Content-Based Multimedia Indexing, CBMI 2015
Publisher	IEEE Computer Society
ISBN (Electronic)	9781467368704
DOIs	https://doi.org/10.1109/CBMI.2015.7153617
State	Published - Jul 9 2015
Event	13th International Workshop on Content-Based Multimedia Indexing, CBMI 2015 - Prague, Czech Republic Duration: Jun 10 2015 → Jun 12 2015

Publication series

Name	Proceedings - International Workshop on Content-Based Multimedia Indexing
Volume	2015-July
ISSN (Print)	1949-3991

Other

Other	13th International Workshop on Content-Based Multimedia Indexing, CBMI 2015
Country/Territory	Czech Republic
City	Prague
Period	6/10/15 → 6/12/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Image texture
Local Binary Pattern
Severity
Ulcerative colitis

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10.1109/CBMI.2015.7153617

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Dahal, A., Oh, J., Tavanapong, W., Wong, J., & De Groen, P. C. (2015). Detection of ulcerative colitis severity in colonoscopy video frames. In 2015 13th International Workshop on Content-Based Multimedia Indexing, CBMI 2015 Article 7153617 (Proceedings - International Workshop on Content-Based Multimedia Indexing; Vol. 2015-July). IEEE Computer Society. https://doi.org/10.1109/CBMI.2015.7153617

Detection of ulcerative colitis severity in colonoscopy video frames. / Dahal, Ashok; Oh, Junghwan; Tavanapong, Wallapak et al.
2015 13th International Workshop on Content-Based Multimedia Indexing, CBMI 2015. IEEE Computer Society, 2015. 7153617 (Proceedings - International Workshop on Content-Based Multimedia Indexing; Vol. 2015-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Dahal, A, Oh, J, Tavanapong, W, Wong, J & De Groen, PC 2015, Detection of ulcerative colitis severity in colonoscopy video frames. in 2015 13th International Workshop on Content-Based Multimedia Indexing, CBMI 2015., 7153617, Proceedings - International Workshop on Content-Based Multimedia Indexing, vol. 2015-July, IEEE Computer Society, 13th International Workshop on Content-Based Multimedia Indexing, CBMI 2015, Prague, Czech Republic, 6/10/15. https://doi.org/10.1109/CBMI.2015.7153617

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Detection of ulcerative colitis severity in colonoscopy video frames

Abstract

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Bibliographical note

Keywords

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