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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

  • DOI - Digital Object Identifier

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

Result continuities

  • Project

  • 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

  • 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

  • EID of the result in the Scopus database