ORIGINAL RESEARCH

Algorithm of segmentation of OCT macular images to analyze the results in patients with age-related macular degeneration

Ibragimova RR1, Gilmanov II2, Lopukhova EA2, Lakman IA1,2, Bilyalov AR1, Mukhamadeev TR1,3, Kutluyarov RV2, Idrisova GM1,3
About authors

1 Bashkir State Medical University, Ufa, Russia

2 Ufa State Aviation Technical University, Ufa, Russia

3 Optimedservice, Ufa, Russia

Correspondence should be addressed: Rada R. Ibragimova
Lenina, d. 3, Ufa, 450008, Russia; ur.xednay@6102adar.avomigarbi

About paper

Financing: the study was partially conducted as part of the State Assignment of the Ministry of Education and Science of the Russian Federation for the Ufa State Aviation Technical University (code of scientific assignment #FEUE-2021-0013, agreement № 075-03-2021-014) at the scientific research laboratory named ‘Sensor systems based on appliances of integrated photonics’ (sections ‘Materials and methods’, ‘Study results’, ‘Discussion of results’) and as part of the project backed by subsidies in the area of science taken from the budget of the Republic of Bashkortostan to ensure state support of scientific research conducted under the guidance of the leading scientists (НОЦ-РМГ-2021, agreement with the Ufa State Aviation Technical University) (Introduction section).

Author contribution: Ibragimova RR — review of literature, data acquisition and analysis, writing an article; Gilmanov II — development of software, searching a database, testing the existing code components; Lopukhova EA — development of software, writing an article, data acquisition and analysis; Lakman IA, Mukhamadeev TR, Kutluyarov RV — study concept and design, scientific editing; Bilyalov AR — scientific editing; Idrisova GM — data analysis, scientific editing.

Compliance with ethical standards: the study was performed in accordance with the principles of Declaration of Helsinki; all patients signed voluntary informed consent to OCT.

Received: 2022-11-03 Accepted: 2022-12-03 Published online: 2022-12-27
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Fig. 1. Class activation cards: with no use of attention concentration module (A); while using the SIFT method (B); while using the SALV method (C)
Fig. 2. OCT macular images in early and intermediate AMD. A. Hard and soft Bruch’s membrane drusen (red arrows) marked by the doctor. B. Algorithm segmented image
Fig. 3. OCT image late macular OCT image in AMD. A. Signs of AMD recorded by the physician (described in the text). B. Algorithm segmented data
Table. Values of specificity and sensitivity for every stage