Diagnosis and multiclass classification of diabetic retinopathy using enhanced multi thresholding optimization algorithms and improved Naive Bayes classifier
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18659-1.pdf
Reference87 articles.
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3. Lihteh W, Fernandez-Loaiza P, Sauma J, HernandezBogantes E, Masis M (2013) Classification of diabetic retinopathy and diabetic macular edema. World J Diabetes 4(6):290
4. Tufail A, Rudisill C, Egan C, Kapetanakis VV, Salas-Vega S, Owen CG, Lee A, Louw V, Anderson J, Liew G et al (2017) Automated diabetic retinopathy image assessment software: diagnostic accuracy and cost-effectiveness compared with human graders. Ophthalmology 124(3):343–351
5. Khansari MM, O’Neill WD, Penn RD, Blair NP, Shahidi M (2019) Detection of subclinical diabetic retinopathy by fine structure analysis of retinal images. J Ophthalmol 2019:1–6
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