Eye-tracking for efficient database labelling: Applications to automatic analysis of colonoscopy video
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2007Access:
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Vilarino, F. & Lacey, G., Eye-tracking for efficient database labelling: Applications to automatic analysis of colonoscopy video, Irish Machine Vision and Image Processing Conference, 2007Download Item:
Abstract:
In this paper we present our preliminary results in the
automatic analysis of colonoscopy video using eye-tracking.
We propose that eye-tracking can be successfully applied to
solve different problems in computer assisted colonoscopy,
such as database labelling, expertise assessment and abnormality
detection. We provide results in these three areas,
including a machine learning-based system for colon
cancer detection using data generated with eye-tracking.
Sponsor
Grant Number
Enterprise Ireland
Author's Homepage:
http://people.tcd.ie/gjlacey
Author: Lacey, Gerard; Vilarino, Fernando
Sponsor:
Enterprise IrelandOther Titles:
Irish Machine Vision and Image Processing ConferenceType of material:
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Full text availableKeywords:
Colonoscopy, Eye-tracking, Computer assisted colonoscopySubject (TCD):
Creative Technologies , Computer Vision and Image ProcessingDOI:
http://dx.doi.org/10.1109/IMVIP.2007.42Metadata
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