Detection of optic disc glaucoma damages using image analysis and artificial neural net
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15410%2F03%3A00001480" target="_blank" >RIV/61989592:15410/03:00001480 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Detection of optic disc glaucoma damages using image analysis and artificial neural net
Original language description
A new method of the optic disc glaucomatous damage detection and the diagnosis determination is presented in this paper. This method is based on the measurement of the relative size of the representative pallor area on the colour digital optic disc imageand its evaluation using a statistical method and computer-simulated artificial neural net. Finally, the dependence of the relative pallor area size of the glaucomatous eye and glaucomatous visual field changes is studied.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BH - Optics, masers and lasers
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of SPIE - The International Society for Optical Engineering
ISBN
0277-786X
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
240-249
Publisher name
SPIE
Place of publication
Washington
Event location
Mnichov
Event date
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Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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