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

dc.contributor.advisor	Meenakshy, K
dc.contributor.author	Anil Kumar K.R
dc.contributor.other	Dept.of Electrical and Electronics Engg. Govt. Engineering College, Thrissur	en_US
dc.date.accessioned	2024-11-28T09:23:34Z
dc.date.available	2024-11-28T09:23:34Z
dc.date.issued	2020
dc.identifier.uri	https://hdl.handle.net/20.500.12818/2085
dc.description.statementofresponsibility	Anil Kumar K.R	en_US
dc.format.extent	181 p.	en_US
dc.language.iso	en	en_US
dc.publisher	Dept.of Electrical and Electronics Engg. Govt. Engineering College, Thrissur	en_US
dc.title	An automated algorithm to extract features from retinal fundus images to detect diabetic retinopathy and assess its severity using deep learning	en_US
dc.type	Thesis	en_US
dc.description.degree	Ph.D	en_US