Automatic classification of glaucomatic patients based on vessel shape analysis

dc.contributor.author	Ασβεστάς, Παντελής Α.	el
dc.contributor.author	Δελήμπασης, Κωνσταντίνος Κ.	el
dc.contributor.author	Μουραβλιάνσκυ, Νικόλαος Α.	el
dc.contributor.author	Ματσόπουλος, Γεώργιος Κ.	el
dc.contributor.author	Zeyen, T.	el
dc.date.accessioned	2015-02-07T18:17:22Z
dc.date.issued	2015-02-07
dc.identifier.uri	http://hdl.handle.net/11400/5811
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.embec.eu/	en
dc.subject	Glaucoma
dc.subject	Optic neuropathy
dc.subject	Γλαύκωμα
dc.subject	Οπτική νευροπάθεια
dc.title	Automatic classification of glaucomatic patients based on vessel shape analysis	en
heal.type	conferenceItem
heal.generalDescription	Proceedings of The 3rd European Medical and Biological Engineering Conference – EMBEC’05	en
heal.classification	Medicine
heal.classification	Biomedical engineering
heal.classification	Ιατρική
heal.classification	Βιοϊατρική τεχνολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85014237
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Βιοϊατρική τεχνολογία
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85055227
heal.identifier.secondary	ISSN: 1727-1983
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2005
heal.bibliographicCitation	Asvestas, P., Delibasis, K., Mouravliansky, N., Matsopoulos, G. and Zeyen, T. (2005). Automatic classification of glaucomatic patients based on vessel shape analysis. In the 3rd European Medical and Biological Engineering Conference – EMBEC’05. Prague, 20th – 25th November, 2005.	en
heal.abstract	Glaucoma, a leading cause of blindness worldwide, is a progressive optic neuropathy with characteristic structural changes in the optic nerve head reflected in the visual field. Even though a number of variables, including visual field defects, have been used by the experts in order to identify early glaucomatous damage, there is a need for computer-based methods that can detect glaucomatous damages at early stages so that treatment to prevent further progression can be instigated. The paper is mainly focused on the description of a methodology based on image processing techniques for the estimation of quantitative parameters to define vessel deformation in order to assist early detection of glaucoma.	en
heal.publisher	[χ.ό.]	el
heal.fullTextAvailability	true
heal.conferenceName	European Medical and Biological Engineering Conference – EMBEC’05	en
heal.conferenceItemType	full paper