Reduction of capsule endoscopy reading times by unsupervised image mining

dc.contributor.author	Ιακωβίδης, Δημήτρης Κ.	el
dc.contributor.author	Τσέβας, Σπυρίδων	el
dc.contributor.author	Πολυδώρου, Ανδρέας Α	el
dc.date.accessioned	2015-06-06T22:56:52Z
dc.date.available	2015-06-06T22:56:52Z
dc.date.issued	2015-06-07
dc.identifier.uri	http://hdl.handle.net/11400/15372
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.sciencedirect.com/science/article/pii/S0895611109001372	en
dc.subject	Summarization
dc.subject	Wireless capsule endoscopy
dc.subject	Ανασκόπηση
dc.subject	Ασύρματη κάψουλα ενδοσκόπησης
dc.title	Reduction of capsule endoscopy reading times by unsupervised image mining	en
heal.type	journalArticle
heal.generalDescription	Biomedical Image Technologies and Methods - BIBE 2008	en
heal.classification	Technology
heal.classification	Electronics
heal.classification	Τεχνολογία
heal.classification	Ηλεκτρονική
heal.classificationURI	http://zbw.eu/stw/descriptor/10470-6
heal.classificationURI	http://zbw.eu/stw/descriptor/10455-2
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Ηλεκτρονική
heal.identifier.secondary	doi:10.1016/j.compmedimag.2009.11.005
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Ηλεκτρονικών Μηχανικών Τ.Ε.	el
heal.publicationDate	2010-09
heal.bibliographicCitation	Iakovidis, D., Tsevas, S. and Polydorou, A. (September 2010). Reduction of capsule endoscopy reading times by unsupervised image mining. Computerized Medical Imaging and Graphics. 34(6). pp. 471-478. Elsevier Ltd: 2010. Available from: http://www.sciencedirect.com/science/article/pii/S0895611109001372 [Accessed 06/12/2009]	el
heal.abstract	The screening of the small intestine has become painless and easy with wireless capsule endoscopy (WCE) that is a revolutionary, relatively non-invasive imaging technique performed by a wireless swallowable endoscopic capsule transmitting thousands of video frames per examination. The average time required for the visual inspection of a full 8-h WCE video ranges from 45 to 120 min, depending on the experience of the examiner. In this paper, we propose a novel approach to WCE reading time reduction by unsupervised mining of video frames. The proposed methodology is based on a data reduction algorithm which is applied according to a novel scheme for the extraction of representative video frames from a full length WCE video. It can be used either as a video summarization or as a video bookmarking tool, providing the comparative advantage of being general, unbounded by the finiteness of a training set. The number of frames extracted is controlled by a parameter that can be tuned automatically. Comprehensive experiments on real WCE videos indicate that a significant reduction in the reading times is feasible. In the case of the WCE videos used this reduction reached 85% without any loss of abnormalities.	en
heal.publisher	Elsevier Ltd	en
heal.journalName	Computerized Medical Imaging and Graphics	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true