Image analysis and statistical evaluation of two-dimensional human eye reitna images of healthy and glaucomatous eyes

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15410%2F03%3A00001481" target="_blank" >RIV/61989592:15410/03:00001481 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Image analysis and statistical evaluation of two-dimensional human eye reitna images of healthy and glaucomatous eyes

Original language description

In this paper, a new automatic glaucoma diagnostic method for determining the probability of glaucoma occurring in a eye under study is described. This method is based on computer analysis of two-dimensional images of the blind spot of the human eye retina and on successive statistical evaluation of the obtained data. First, the characteristic symptoms of glaucoma are shortly described. Next, a suitable numerical parameter of the retina blind spot is defined. The method of computer image analysis for automatic determination of the parameter in question is described and it is applied to a set of normal healthy eye images and to a set of glaucomatous eye images. The probability of glaucoma occurring for each value of the parameter introduced is suitablydefined and computed by virtue of statistical evaluation of the results obtained.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BH - Optics, masers and lasers

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2003

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Optica Applicata

ISSN

0078-5466

e-ISSN

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Volume of the periodical

33

Issue of the periodical within the volume

2-3

Country of publishing house

PL - POLAND

Number of pages

11

Pages from-to

521-531

UT code for WoS article

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EID of the result in the Scopus database

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