Texture Based Discrimination of Normal and Glaucomatous Retina
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F08%3APU75749" target="_blank" >RIV/00216305:26220/08:PU75749 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
čeština
Original language name
Texture Based Discrimination of Normal and Glaucomatous Retina
Original language description
This article describes the texture analysis of the retinal nerve fibre layer in colour retinal photographs using grey level run length matrix. The feature selection and classification using support vector machine method is also presented and evaluated onimage database. The results show that there exist suitable texture parameters for discrimination between the glaucomatous and healthy tissues.
Czech name
Texture Based Discrimination of Normal and Glaucomatous Retina
Czech description
This article describes the texture analysis of the retinal nerve fibre layer in colour retinal photographs using grey level run length matrix. The feature selection and classification using support vector machine method is also presented and evaluated onimage database. The results show that there exist suitable texture parameters for discrimination between the glaucomatous and healthy tissues.
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JA - Electronics and optoelectronics
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
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Analysis of Biomedical Signals and Images
ISSN
1211-412X
e-ISSN
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Volume of the periodical
19
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
5
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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