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Authors: Mirko Arnold 1 ; Hugh Mulcahy 2 ; Glen Doherty 2 ; Christopher Steele 3 ; Stephen Patchett 4 ; Anarta Ghosh 1 and Gerard Lacey 1

Affiliations: 1 Trinity College Dublin, Ireland ; 2 University College Dublin, Ireland ; 3 Letterkenny General Hospital Donegal, Ireland ; 4 Royal College of Surgeons in Ireland, Ireland

Keyword(s): Medical Computer Vision, Medical Image Applications, Endoscopic Imaging, Vision-based Quality Assessment, Colonoscopy, Machine Learning.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Medical Image Applications

Abstract: The quality of individual colonoscopy procedures is currently assessed by the performing endoscopist. In light of the recently reported quality issues in colonoscopy screening, there may be significant benefits in augmenting this form of self-assessment by automatic assistance systems. In this paper, we propose a system for the assessment of individual colonoscopy procedures, based on image analysis and machine learning. The system rates the procedures according to criteria of the validated Direct Observation of Procedure and Skill (DOPS) assessment, developed by the Joint Advisory Group on GI Endoscopy (JAG) in the UK, a system involving expert assessment of procedures based on an assessment form.

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Paper citation in several formats:
Arnold, M.; Mulcahy, H.; Doherty, G.; Steele, C.; Patchett, S.; Ghosh, A. and Lacey, G. (2013). Towards Automatic Direct Observation of Procedure and Skill (DOPS) in Colonoscopy. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP; ISBN 978-989-8565-48-8; ISSN 2184-4321, SciTePress, pages 48-53. DOI: 10.5220/0004300800480053

@conference{visapp13,
author={Mirko Arnold. and Hugh Mulcahy. and Glen Doherty. and Christopher Steele. and Stephen Patchett. and Anarta Ghosh. and Gerard Lacey.},
title={Towards Automatic Direct Observation of Procedure and Skill (DOPS) in Colonoscopy},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP},
year={2013},
pages={48-53},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004300800480053},
isbn={978-989-8565-48-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP
TI - Towards Automatic Direct Observation of Procedure and Skill (DOPS) in Colonoscopy
SN - 978-989-8565-48-8
IS - 2184-4321
AU - Arnold, M.
AU - Mulcahy, H.
AU - Doherty, G.
AU - Steele, C.
AU - Patchett, S.
AU - Ghosh, A.
AU - Lacey, G.
PY - 2013
SP - 48
EP - 53
DO - 10.5220/0004300800480053
PB - SciTePress