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Open Access Journal Article

Optical coherence tomography with the best deep properties for finding age-related macular degeneration

by Jakub Dominik 1,*
1
Na Homolce Hospital, Roentgenova 37, 150 00 Praha 5, Czechia
*
Author to whom correspondence should be addressed.
IJCMR  2025 3(3):58; https://doi.org/10.61466/ijcmr3030003
Received: 4 February 2025 / Accepted: 20 April 2025 / Published Online: 23 April 2025
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Abstract

Background

An ocular ailment impacts the entirety of sensory functioning, and an undetected and untreated ocular ailment might result in visual impairment. The objective of this study was to create an automated system for detecting age-related macular degeneration (ARMD) using deep-learning (DL) method that combines optimal deep features selected using the arithmetic optimizer (AO).

Methods

The main stages of the proposed scheme include; image collection from the chosen dataset and resizing, feature extraction using the DL scheme, feature optimization with AO and serial features fusion, and bi-level data classification and five-fold cross validation. The performance of the developed DL system is verified using conventional-, optimal-, and fused-features and the importance of these methods are established based on the chosen performance metrics.

Results

This study is executed using 1200 numbers of optical coherence tomography images of Normal/ARMD class and the scheme helps in achieving accuracy of >90% and >91% with conventional- and optimal features. Further, the fused-features based classification provided an accuracy of >99% with the support vector machin.

Conclusions

The achieved results of this study confirm the importance of the developed procedure on the examination of retinal optical coherence tomography images.

Keywords: ocular ailment; age-related macular degeneration; optical coherence tomography image; arithmetic optimizer; classification;
Copyright: © 2025 by Dominik. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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ACS Style
Dominik, J. Optical coherence tomography with the best deep properties for finding age-related macular degeneration. International Journal of Clinical Medical Research, 2025, 3, 58. doi:10.61466/ijcmr3030003
AMA Style
Dominik J. Optical coherence tomography with the best deep properties for finding age-related macular degeneration. International Journal of Clinical Medical Research; 2025, 3(3):58. doi:10.61466/ijcmr3030003
Chicago/Turabian Style
Dominik, Jakub 2025. "Optical coherence tomography with the best deep properties for finding age-related macular degeneration" International Journal of Clinical Medical Research 3, no.3:58. doi:10.61466/ijcmr3030003

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