An automated algorithm to extract features from retinal fundus images to detect diabetic retinopathy and assess its severity using deep learning

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dc.contributor.advisorMeenakshy, K
dc.contributor.authorAnil Kumar K.R
dc.contributor.otherDept.of Electrical and Electronics Engg. Govt. Engineering College, Thrissuren_US
dc.date.accessioned2024-11-28T09:23:34Z
dc.date.available2024-11-28T09:23:34Z
dc.date.issued2020
dc.description.degreePh.Den_US
dc.description.statementofresponsibilityAnil Kumar K.Ren_US
dc.format.extent181 p.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12818/2085
dc.language.isoenen_US
dc.publisherDept.of Electrical and Electronics Engg. Govt. Engineering College, Thrissuren_US
dc.titleAn automated algorithm to extract features from retinal fundus images to detect diabetic retinopathy and assess its severity using deep learningen_US
dc.typeThesisen_US

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