Eye-tracking for efficient database labelling: Applications to automatic analysis of colonoscopy video
Item Type:Conference Paper
Citation:Vilarino, F. & Lacey, G., Eye-tracking for efficient database labelling: Applications to automatic analysis of colonoscopy video, Irish Machine Vision and Image Processing Conference, 2007
imvip_2007_FV_GL.pdf (PDF) 115.4Kb
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.
Other Titles:Irish Machine Vision and Image Processing Conference
Type of material:Conference Paper
Availability:Full text available