Automatic Detection and stage classification of Diabetic Retinopathy Using Convolutional neural network with densenet120

Balaji, E.

Automatic Detection and stage classification of Diabetic Retinopathy Using Convolutional neural network with densenet120

Balaji, E. (2021) Automatic Detection and stage classification of Diabetic Retinopathy Using Convolutional neural network with densenet120. In: Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India.

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Abstract

Diabetic retinopathy (DR) is a leading eye disease which damages the blood vessels in the retina. Initially DR is asymptomatic and eventually ends up with severe or complete vision loss. The main reason of the DR is diabetic mellitus (DM) which is a type of diabetic where the pancreases fail to prod

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Date Deposited:	04 Mar 2026 14:55
Last Modified:	17 Apr 2026 07:07
URI:	http://eprints.eai.eu/id/eprint/37129

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