Costs and consequences of automated algorithms versus manual grading for the detection of referable diabetic retinopathy

Author:

Scotland G. S.,McNamee P.,Fleming A. D.,Goatman K. A.,Philip S.,Prescott G. J.,Sharp P. F.,Williams G. J.,Wykes W.,Leese G. P.,Olson J. A.,

Publisher

BMJ

Subject

Cellular and Molecular Neuroscience,Sensory Systems,Ophthalmology

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4. Severity Grading of Diabetic Retinopathy Using CNN;2023 International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3);2023-06-08

5. A ResNet is all you need: modeling a strong baseline for detecting referable diabetic retinopathy in fundus images;18th International Symposium on Medical Information Processing and Analysis;2023-03-06

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