Open AccessAlgorithm for segmentation of visual signs of diabetic retinopathy (DR) and diabetic macular edema (DME) in digital fundus images
Author(s) -
E.A. Katalevskaya,
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D.Y. Katalevsky,
M.I. Tyurikov,
E.F. Shaykhutdinova,
Andrey Sizov,
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AUTHOR_ID,
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AUTHOR_ID
Publication year - 2021
Publication title -
rossijskij žurnal telemediciny i èlektronnogo zdravoohraneniâ
Language(s) - English
Resource type - Journals
eISSN - 2712-9225
pISSN - 2712-9217
DOI - 10.29188/2712-9217-2021-7-4-17-26
Subject(s) - diabetic retinopathy , segmentation , fundus (uterus) , computer science , artificial intelligence , medicine , telemedicine , diabetic macular edema , diabetes mellitus , pattern recognition (psychology) , algorithm , optometry , ophthalmology , health care , economic growth , economics , endocrinology
This article is devoted to the development of an algorithm for segmentation of visual signs of DR and DMO. The paper references the global statistics of patients with diabetes mellitus and their need for regular fundus screening. We propose the use of telemedicine applications to the problem of regular ophthalmological screening of patients with diabetis mellitus. The main features of DR and DME are identified with the help of artificial intelligence algorithms. A list of scientific and technical problems that needed to be solved is presented: the collection of training data, their markup and the choice of artificial neural network architectures for the tasks of feature segmentation. The process of validation of the algorithm is described and the current results are presented.