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2019 | OriginalPaper | Buchkapitel

A Simple Algorithm for Hard Exudate Detection in Diabetic Retinopathy Using Spectral-Domain Optical Coherence Tomography

verfasst von : Maciej Szymkowski, Emil Saeed, Khalid Saeed, Zofia Mariak

Erschienen in: Advances in Computer Graphics

Verlag: Springer International Publishing

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Abstract

Hard exudates are usually seen in the course of diabetic retinopathy. This illness is one of the most common reasons for blind registration in the world. Due to the data presented by World Health Organization (WHO) the number of people who lose sight because of undetected diabetes will be doubled by 2050. The purpose of this paper is to introduce an enhanced algorithm for hard exudates detection in Optical Coherence Tomography images. In these samples, dangerous pathological changes can be observed in the form of yellow-red spots. During the experiments more than 150 images were used to calculate the accuracy of the proposed approach. We created an algorithm that was implemented in development environment with Java Programming Language and Maven Framework. Classification was done on the basis of authors’ own algorithm results and compared with ophthalmologist decision. The experiments have shown the proposed approach has 97% of accuracy in hard exudates detection.

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Titel: A Simple Algorithm for Hard Exudate Detection in Diabetic Retinopathy Using Spectral-Domain Optical Coherence Tomography
verfasst von: Maciej Szymkowski
Emil Saeed
Khalid Saeed
Zofia Mariak
Verlag: Springer International Publishing
Buch: Advances in Computer Graphics
Print ISBN: 978-3-030-22513-1

Electronic ISBN: 978-3-030-22514-8

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-030-22514-8_15

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