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Presentation
Enhancing Informative Frame Filtering by Water and Bubble Detection in Colonoscopy Videos
Proceedings of International Conference on Health Informatics & Medical Systems
  • Ashok Dahal, University of North Texas
  • JungHwan Oh, University of North Texas
  • Wallapak Tavanapong, Iowa State University
  • Johnny S. Wong, Iowa State University
  • Piet C. de Groen, Mayo Clinic College of Medicine
Document Type
Conference Proceeding
Conference
HIMS'15 - International Conference on Health Informatics and Medical Systems
Publication Version
Published Version
Publication Date
7-1-2015
Conference Title
HIMS'15 - International Conference on Health Informatics and Medical Systems
Conference Date
July 27-30, 2015
Geolocation
(36.1699412, -115.13982959999998)
Abstract
Colonoscopy has contributed to a marked decline in the number of colorectal cancer related deaths. However, recent data suggest that there is a significant (4-12%) miss-rate for the detection of even large polyps and cancers. To address this, we have been investigating an ‘automated feedback system’ which informs the endoscopist of possible sub-optimal inspection during colonoscopy. A fundamental step of this system is to distinguish non-informative frames from informative ones. Existing methods for this cannot classify water/bubble frames as non-informative even though they do not carry any useful visual information of the colon mucosa. In this paper, we propose a novel texture feature based on accumulation of pixel differences, which can detect water and bubble frames with very high accuracy with significantly less processing time. The experimental results show the proposed feature can achieve more than 93% overall accuracy in almost half of the processing time the existing methods take.
Comments

This article is from WorldComp 2015 International Conference Health Informatics and Medical Systems | HIMS'15 : pp. 24-30. Posted with permission.

Language
en
File Format
application/pdf
Citation Information
Ashok Dahal, JungHwan Oh, Wallapak Tavanapong, Johnny S. Wong, et al.. "Enhancing Informative Frame Filtering by Water and Bubble Detection in Colonoscopy Videos" Las Vegas, NEProceedings of International Conference on Health Informatics & Medical Systems (2015) p. 24 - 30
Available at: http://works.bepress.com/wallapak-tavanapong/7/