Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/5811
Title: Automatic classification of glaucomatic patients based on vessel shape analysis
Authors: Ασβεστάς, Παντελής Α.
Δελήμπασης, Κωνσταντίνος Κ.
Μουραβλιάνσκυ, Νικόλαος Α.
Ματσόπουλος, Γεώργιος Κ.
Zeyen, T.
Item type: Conference publication
Conference Item Type: Full Paper
Keywords: Glaucoma;Optic neuropathy;Γλαύκωμα;Οπτική νευροπάθεια
Subjects: Medicine
Biomedical engineering
Ιατρική
Βιοϊατρική τεχνολογία
Issue Date: 7-Feb-2015
2005
Publisher: [χ.ό.]
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.
Description: Proceedings of The 3rd European Medical and Biological Engineering Conference – EMBEC’05
Language: English
Citation: 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.
Conference: European Medical and Biological Engineering Conference – EMBEC’05
Access scheme: Embargo
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/5811
Appears in Collections:Δημοσιεύσεις

Files in This Item:
File Description SizeFormat 
C22.pdf
  Restricted Access
345.83 kBAdobe PDFView/Open Request a copy


This item is licensed under a Creative Commons License Creative Commons