Semi-automated system for cup to disc measurement for diagnosing glaucoma using classification paradigm

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099102" target="_blank" >RIV/61989100:27240/16:86099102 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-29504-6_60" target="_blank" >http://dx.doi.org/10.1007/978-3-319-29504-6_60</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-29504-6_60" target="_blank" >10.1007/978-3-319-29504-6_60</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Semi-automated system for cup to disc measurement for diagnosing glaucoma using classification paradigm

Popis výsledku v původním jazyce

Recently, Glaucoma has become one of the major retinal diseases. In order to detect such retinal diseases, cup to disc ratio measurement is a vital index of Glaucoma, as the Glaucomatous neuropathy increases the cup to disc ratio when the excavation of the optic cup is increased. In this paper, a semi-automated system to detect both of optic cup and optic disc and to measure cup to disc ratio has been proposed. The proposed system firstly, uses an object detection function from red channel of the retinal images. Then further using threshold values, the optic cup and optic disc are detected. Although, for several images manual tuning is needed as the object detection function as well as the threshold value fail to detect the optic cup and optic disc correctly. The manually tuned images and the automatically detected images are further used to determine the error in the system which leads to the categorizing of the images. These images are later post-processed using Haralick texture features. Haralick texture features' obtained values are trained using back propagation neural network to determine the system's accuracy. The proposed system was evaluated using RIM-ONE database. By increasing the absolute error, system's accuracy is evaluated. The proposed system's accuracy is 86.43% at 0.5 error value. (C) Springer International Publishing Switzerland 2016.

Název v anglickém jazyce

Semi-automated system for cup to disc measurement for diagnosing glaucoma using classification paradigm

Popis výsledku anglicky

Recently, Glaucoma has become one of the major retinal diseases. In order to detect such retinal diseases, cup to disc ratio measurement is a vital index of Glaucoma, as the Glaucomatous neuropathy increases the cup to disc ratio when the excavation of the optic cup is increased. In this paper, a semi-automated system to detect both of optic cup and optic disc and to measure cup to disc ratio has been proposed. The proposed system firstly, uses an object detection function from red channel of the retinal images. Then further using threshold values, the optic cup and optic disc are detected. Although, for several images manual tuning is needed as the object detection function as well as the threshold value fail to detect the optic cup and optic disc correctly. The manually tuned images and the automatically detected images are further used to determine the error in the system which leads to the categorizing of the images. These images are later post-processed using Haralick texture features. Haralick texture features' obtained values are trained using back propagation neural network to determine the system's accuracy. The proposed system was evaluated using RIM-ONE database. By increasing the absolute error, system's accuracy is evaluated. The proposed system's accuracy is 86.43% at 0.5 error value. (C) Springer International Publishing Switzerland 2016.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Advances in Intelligent Systems and Computing. Volume 427

ISBN

978-3-319-29503-9

ISSN

2194-5357

e-ISSN

—

Počet stran výsledku

11

Strana od-do

653-663

Název nakladatele

Springer Verlag

Místo vydání

London

Místo konání akce

Paříž

Datum konání akce

9. 9. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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