Statistical and neural net methods for automatic glaucoma diagnosis determination
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F04%3A00002383" target="_blank" >RIV/61989592:15310/04:00002383 - isvavai.cz</a>
Alternative codes found
RIV/68378271:_____/04:00020692
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Statistical and neural net methods for automatic glaucoma diagnosis determination
Original language description
Two new computer diagnostic methods for the automatic determination of glaucoma diagnosis are presented and compared in this paper: the statistical method and the neural net method. Both introduced methods evaluate colour glaucomatous changes within theoptic disc area. The mentioned colour changes are numerically represented using a suitable image analysis process. Next, the investigated eye is classified to three defined glaucoma-risk classes with different reliability of the diagnosis determination.The verification and the reliability comparison of both studied methods are performed by virtue of the application of this methods to a set of normal healthy optic disc images and a set of glaucomatous optic disc images.
Czech name
Statistická metoda a metoda neuronové sítě pro sutomatickou diagnostiku glaukomu
Czech description
V článku jsou prezentovány a srovnány dvě nové počítačové metody pro automatické stanovení glaukomové diagnózy: statistická metoda a metoda neuronové sítě. Obě uvedené metody hodnotí barevné glaukomové změny uvnitř oblasti slepé skvrny sítnice. Zmíněné barevné změny jsou numericky reprezentovány využitím vhodného procesu obrazové analýzy.
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
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
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Central European Journal of Physics
ISSN
1644-3608
e-ISSN
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Volume of the periodical
2
Issue of the periodical within the volume
1
Country of publishing house
PL - POLAND
Number of pages
13
Pages from-to
12-24
UT code for WoS article
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EID of the result in the Scopus database
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