Automatic segmentation of subretinal fluid boundaries in retinal macular layers to improve the analysis quality of optical coherence tomography scans of retinal patients with wet AMD

Abstract

Automatic segmentation of subretinal fluid boundaries in retinal macular layers to improve the analysis quality of optical coherence tomography scans of retinal patients with wet AMD

Filippenko V. A., Dolgov V. V. , Bondarenko Y. F., Epikhin A. N., Epikhina Y. N.

Incoming article date: 10.11.2021

This paper proposes an algorithm for automatic segmentation of subretinal fluids in the macular retinal layers of the retina. The proposed algorithm is implemented in an integrated development environment - PyCharm, a high-level general-purpose programming language (GPL) - Python was chosen. The proposed algorithm together with other methods of analysis of morphometric parameters of the human retina, which are still under development, will be used for more accurate diagnosis of the stage and degree of retinal damage in age-related macular degeneration.

Keywords: software, image processing, diagnostics, automatic segmentation, macula, retina, age-related macular degeneration, optical coherence tomography