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Detail publikačního výsledku
KOŠTIALIK, D.; MARUNIAK, L.; DRAHANSKÝ, M.
Originální název
Symptoms Detection in Eye Retina Image
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
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.
Anglický abstrakt
Klíčová slova
eye retina, symptoma, macula, optic disc, segmentation
Klíčová slova v angličtině
Autoři
Rok RIV
2018
Vydáno
02.02.2018
Nakladatel
IEEE Computer Society
Místo
Hawaii
ISBN
978-1-5386-2725-9
Kniha
2017 IEEE Symposium Series on Computational Intelligence
Strany od
1
Strany do
6
Strany počet
URL
https://www.fit.vut.cz/research/publication/11531/
BibTex
@inproceedings{BUT144476, author="Daniel {Koštialik} and Lukáš {Maruniak} and Martin {Drahanský}", title="Symptoms Detection in Eye Retina Image", booktitle="2017 IEEE Symposium Series on Computational Intelligence", year="2018", pages="1--6", publisher="IEEE Computer Society", address="Hawaii", doi="10.1109/SSCI.2017.8285165", isbn="978-1-5386-2725-9", url="https://www.fit.vut.cz/research/publication/11531/" }
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