2021 / 04

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DOI: 10.24075/brsmu.2021.040

ORIGINAL RESEARCH

Labelling of data on fundus color pictures used to train a deep learning model enhances its macular pathology recognition capabilities

Takhchidi KhP1, Gliznitsa PV2, Svetozarskiy SN3, Bursov AI4, Shusterzon KA5
About authors

1 Pirogov Russian National Research Medical University, Moscow, Russia

2 OOO Innovatsioonniye Tekhnologii (Innovative Technologies, LLC), Nizhny Novgorod, Russia

3 Volga District Medical Center under the Federal Medical-Biological Agency, Nizhny Novgorod, Russia

4 Ivannikov Institute for System Programming of RAS, Moscow, Russia

5 L.A. Melentiev Energy Systems Institute, Irkutsk, Russia

Correspondence should be addressed: Pavel V. Gliznitsa
Belinskogo, 58/60, et. 5, 603000, Nizhny Novgorod; moc.duolci@pastinzilg

About paper

Funding: this work was financially supported by the Foundation for Assistance to Small Innovative Enterprises in Science and Technology (contract №150ГС1ЦТНТИС5/64226 dated December 22, 2020)

Author contribution: Takhchidi HP — manuscript editing; Gliznitsa PV — study concept and design, data collection and processing, results analysis, manuscript writing; Svetozarskiy SN — participation in data collection, literature and results analysis, manuscript writing; Bursov AI — literature analysis, algorithms development, manuscript editing; Shusterzon KA — algorithms development and validation, illustrations preparation, text writing.

Received: 2021-07-27 Accepted: 2021-08-15 Published online: 2021-08-28
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