Method and computer tools for identifying diabetes-induced fundus pathology

Pavlov, S.V.; Martianova, T.A.; Saldan, Y.R.; Saldan, Y.I.; Zagoruiko, L.V.; Pinaieva, O.Yu.; Omiotek, Z.; Dassibekov, K.

dc.contributor.author	Pavlov, S.V.
dc.contributor.author	Martianova, T.A.
dc.contributor.author	Saldan, Y.R.
dc.contributor.author	Saldan, Y.I.
dc.contributor.author	Zagoruiko, L.V.
dc.contributor.author	Pinaieva, O.Yu.
dc.contributor.author	Omiotek, Z.
dc.contributor.author	Dassibekov, K.
dc.date.accessioned	2020-11-06T12:37:26Z
dc.date.available	2020-11-06T12:37:26Z
dc.date.issued	2019
dc.identifier.uri	https://r.donnu.edu.ua/handle/123456789/1018
dc.description.abstract	This work analysis the method and computer tools for recognition of diabetes-affected fundus images and offers the theoretical foundations for methods and computer aids for recognition of such images. The methods, algorithms and architecture of the software and hardware tools for fundus pathology identification have been developed. Experimental research has been conducted in the field of fundus image recognition and identification of pathology-affected areas.	en_US
dc.language.iso	en	en_US
dc.title	Method and computer tools for identifying diabetes-induced fundus pathology	en_US
dc.type	Book chapter	en_US