Design and Evaluation of a Convolutional Neural Network Model for Automated Detection of Diabetic Retinopathy Using Retinal Fundus Photographs
Design and Evaluation of a Convolutional Neural Network Model for Automated Detection of Diabetic Retinopathy Using Retinal Fundus Photographs
Tobi Titus Oyekanmi,P. O. Adigun,A. Adeniyi
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TLDR
The design and evaluation of a custom convolutional neural network model, LightDR, for automated classification of DR using retinal fundus photographs are presented, suggesting that LightDR offers a scalable and effective solution for DR screening.