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Symptoms Detection in Eye Retina Image

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU126453" target="_blank" >RIV/00216305:26230/17:PU126453 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.fit.vut.cz/research/publication/11531/" target="_blank" >https://www.fit.vut.cz/research/publication/11531/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SSCI.2017.8285165" target="_blank" >10.1109/SSCI.2017.8285165</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Symptoms Detection in Eye Retina Image

  • Original language description

    Diabetic retinopathy and age related macular degeneration are among the most common eye retina diseases, which cause partial or complete blindness. The purpose of this study is to design and implement software for automatic detection of symptoms from eye fundus images. The detection algorithm is based on segmentation methods and follow up analysis of segmented areas. Detection of retina objects such as optic disc, macula and blood vessels is important prior symptoms detection as they can adversely affect the results of the analysis. Total 259 images of four databases were analyzed and algorithm reaches more than 90 % average success rate. The software might be useful in combination with appropriate hardware and optic devices, and can find a practical application in global population screening.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2017 IEEE Symposium Series on Computational Intelligence

  • ISBN

    978-1-5386-4058-6

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    3088-3093

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Hawaii

  • Event location

    Hawaii, USA

  • Event date

    Nov 27, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000428251403022