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dc.contributor.authorHuarote Zegarra, Raúl Eduardoes_ES
dc.contributor.authorVega Luján, Yensies_ES
dc.contributor.authorFlores Masías, Edward Josées_ES
dc.contributor.authorlCuba Aguilar, Cesar Raues_ES
dc.contributor.authorLlanos Chacaltana, Katherine Susanes_ES
dc.contributor.authorLarios Franco, Alfredo Cesares_ES
dc.contributor.authorDiaz Reategui, Monicaes_ES
dc.date.accessioned2023-03-06T15:54:39Z
dc.date.available2023-03-06T15:54:39Z
dc.date.issued2022-07-18
dc.identifier.urihttps://hdl.handle.net/20.500.13053/7949
dc.description.abstract“This research aims to cover a need to be able to classify according to the funds of eyes in diabetic retinopathy disease, how to convert to gray tone, perform an equalization, apply the canny edge highlighting algorithm and apply morphological operations so that a SOM (self-organization ma p ) neural network can be entered and classified. To achieve this, it is classified as 0 to diabetic retinopathy, 1 to glaucoma and 3 to healthy eyes. To corroborate this strategy, a public database of Fundus-images has been taken, being 45 images of eyes for training and for tests 15 images that were not part of the training were used and for the tests 3 images that were not part of the training were used and each grayscale image is scaled to a dimension of 256x256 pixels, managing to demonstrate with this strategy an affectivity of 93.7% certainty in the identification of class of eye disease“es_ES
dc.formatapplication/pdfes_ES
dc.language.isospaes_ES
dc.publisherLatin American and Caribbean Consortium of Engineering Institutionses_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/es_ES
dc.subject"Strategy, SOM neural network, eyes, glaucoma, diabetic retinopathy."es_ES
dc.title“Estrategia para la detección de tipos de enfermedades oculares usando red neuronal SOM“es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doihttp://dx.doi.org/10.18687/LACCEI2022.1.1.578es_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.publisher.countryUSes_ES
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#1.02.00es_ES


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