dc.contributor.author | Lacey, Gerard | |
dc.contributor.author | Vilarino, Fernando | |
dc.date.accessioned | 2019-11-28T14:04:10Z | |
dc.date.available | 2019-11-28T14:04:10Z | |
dc.date.issued | 2007 | |
dc.date.submitted | 2007 | en |
dc.identifier.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 | en |
dc.identifier.other | Y | |
dc.identifier.uri | http://hdl.handle.net/2262/90917 | |
dc.description.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. | en |
dc.language.iso | en | en |
dc.rights | Y | en |
dc.subject | Colonoscopy | en |
dc.subject | Eye-tracking | en |
dc.subject | Computer assisted colonoscopy | en |
dc.title | Eye-tracking for efficient database labelling: Applications to automatic analysis of colonoscopy video | en |
dc.title.alternative | Irish Machine Vision and Image Processing Conference | en |
dc.type | Conference Paper | en |
dc.contributor.sponsor | Enterprise Ireland | en |
dc.type.supercollection | scholarly_publications | en |
dc.type.supercollection | refereed_publications | en |
dc.identifier.peoplefinderurl | http://people.tcd.ie/gjlacey | |
dc.identifier.rssinternalid | 195831 | |
dc.identifier.doi | http://dx.doi.org/10.1109/IMVIP.2007.42 | |
dc.rights.ecaccessrights | openAccess | |
dc.subject.TCDTheme | Creative Technologies | en |
dc.subject.TCDTag | Computer Vision and Image Processing | en |
dc.identifier.orcid_id | 0000-0002-1923-6852 | |
dc.status.accessible | N | en |