Automated diabetic retinopathy detection with two different retinal imaging devices using artificial intelligence: a comparison study
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cellular and Molecular Neuroscience,Sensory Systems,Ophthalmology
Link
https://link.springer.com/content/pdf/10.1007/s00417-020-04853-y.pdf
Reference28 articles.
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2. Flaxman SR, Bourne RRA, Resnikoff S et al (2017) Global causes of blindness and distance vision impairment 1990-2020: a systematic review and meta-analysis. Lancet Glob Health 5:e1221–e1234
3. Goh JK, Cheung CY, Sim SS et al (2016) Retinal imaging techniques for diabetic retinopathy screening. J Diabetes Sci Technol 10:282–294
4. Rajalakshmi R (2020) The impact of artificial intelligence in screening for diabetic retinopathy in India. Eye 34:420–421
5. Valverde C, Garcia M, Hornero R et al (2016) Automated detection of diabetic retinopathy in retinal images. Indian J Ophthalmol 64:26–32
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