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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

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

Article name in the collection

Advances in Intelligent Systems and Computing. Volume 427

ISBN

978-3-319-29503-9

ISSN

2194-5357

e-ISSN

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Number of pages

11

Pages from-to

653-663

Publisher name

Springer Verlag

Place of publication

London

Event location

Paříž

Event date

Sep 9, 2015

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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