Symptoms Detection in Eye Retina Image

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>

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

—

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)

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)

Publication year

2017

Confidentiality

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

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