Recognition of Drusen Subtypes on OCT Data for the Diagnosis of Age-Related Macular Degeneration

Nataly Yu. Ilyasova orcid (Login required)
IPSI, NRC “Kurchatov Institute”, Samara, Russian Federation
Samara National Research University, Russian Federation

Nikita S. Demin orcid
IPSI, NRC “Kurchatov Institute”, Samara, Russian Federation
Samara National Research University, Russian Federation

Nikita S. Kuritsyn orcid
Samara National Research University, Russian Federation


Paper #9097 received 8 Apr 2024; revised manuscript received 9 Sep 2024; accepted for publication 10 Sep 2024; published online 30 Sep 2024.

DOI: 10.18287/JBPE24.10.030307

Abstract

The aim of this work is to identify drusen subtypes on OCT images for the diagnosis of age-related macular degeneration. In this paper we propose a technology of drusen extraction on OCT-images and their classification. The relevance of the problem is determined by a large number of age-related macular degeneration diseases, which can be diagnosed with the help of timely detection of drusen, as well as the possibility to speed up the time of work of a specialist. The method is based on the segmentation of drusen on the original images and their classification on the reflexivity features. The conducted study allowed achieving a classification accuracy of 98%.

Keywords

Age-related macular degeneration (AMD); optical coherence tomography (OCT); reflectivity; binary classifier

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References


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