Diabetic retinopathy detection using convolutional Neural networks

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dc.contributor.authorBida, Manel
dc.contributor.authorBouaraki, Wissam
dc.contributor.authorGuerbai, Yasmine (Promoteur)
dc.date.accessioned2024-02-06T07:32:58Z
dc.date.available2024-02-06T07:32:58Z
dc.date.issued2023
dc.description65 p. : ill. ; 30 cmen_US
dc.description.abstractThe objectives behind our study are to predict and detect diabetic retinopathy in order to propose an approach based on deep learning models. Additionally, we aim to offer an aid to the ophthalmologists and promote telemedicine in our country.en_US
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/13267
dc.language.isoenen_US
dc.publisherUniversité M'hamed Bougara Boumerdès : Faculté de Technologieen_US
dc.subjectRéseauxen_US
dc.subjectMachine learningen_US
dc.subjectDiabetec Retinopathyen_US
dc.titleDiabetic retinopathy detection using convolutional Neural networksen_US

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