Title :
Eye-tracking for efficient database labelling: Applications to automatic analysis of colonoscopy video
Author :
Vilarino, Fernando ; Lacey, Gerard
Author_Institution :
Trinity Coll. Dublin, Dublin
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.
Keywords :
cancer; medical image processing; object detection; video databases; abnormality detection; colon cancer detection; colonoscopy video; computer assisted colonoscopy; database labelling; eye-tracking; machine learning-based system; Application software; Cancer detection; Colon; Colonoscopy; Image analysis; Labeling; Support vector machine classification; Support vector machines; Videoconference; Visual databases;
Conference_Titel :
Machine Vision and Image Processing Conference, 2007. IMVIP 2007. International
Conference_Location :
Kildare
Print_ISBN :
978-0-7695-2887-8
DOI :
10.1109/IMVIP.2007.42
