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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/45832
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dc.contributor.authorLukashevich, M.-
dc.contributor.authorGolub, Y.-
dc.contributor.authorStarovoitov, V.-
dc.contributor.authorIrtaza, A.-
dc.date.accessioned2021-11-05T11:33:19Z-
dc.date.available2021-11-05T11:33:19Z-
dc.date.issued2021-
dc.identifier.citationRetinal Image Analysis for Diabetic Retinopathy Grading: Preliminarily Results / Lukashevich M. [et al.] // Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021) : Proceedings of the 15th International Conference, 21–24 Sept. 2021, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2021. – P. 128–132.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/45832-
dc.description.abstractMany eye diseases manifest themselves in the retina. Advances in Artificial intelligence (AI), especially in deep learning, improve pathological image analysis in routine clinical practice. We have developed a method for retina image analysis, based on image preprocessing stage and deep neural network as machine learning model. This is the preliminary results of big project for retina image analysis. The main focus was done for diabetic retina images. Also the scheme of new technology for retina image analysis was presented.ru_RU
dc.language.isoenru_RU
dc.publisherUIIP NASBru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectconference proceedingsru_RU
dc.subjectdiabetic retinopathyru_RU
dc.subjectretina image analysisru_RU
dc.subjectimage preprocessingru_RU
dc.subjectmachine learningru_RU
dc.subjectconvolution neural networkru_RU
dc.titleRetinal Image Analysis for Diabetic Retinopathy Grading: Preliminarily Resultsru_RU
dc.typeСтатьяru_RU
Appears in Collections:Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021)

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