Advance Detection of Diabetic Retinopathy: Deep Learning Approach
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48876-4_6
Reference27 articles.
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3. Janghorbani, M., Jones, R.B., Allison, S.P.: Incidence of and risk factors for proliferative retinopathy and its association with blindness among diabetes clinic attenders. Ophthalmic Epidemiol. 7(4), 225–241 (2000)
4. Bourne, R.R.A., et al.: Causes of vision loss worldwide, 1990–2010: a systematic analysis. Lancet Global Health 1(6), 339–349 (2013)
5. ETDRS report no 10. Grading diabetic retinopathy from stereoscopic color fundus photographs- an extension of the modified Airlie House classification. Ophthalmology 98(5), 786–806 (1991)
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1. Detection and classification of diabetic retinopathy based on ensemble learning;Advances in Computational Intelligence;2024-07-27
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