Author:
Lúcio Francisca,Filipe Vitor,Gonçalves Lio
Publisher
Springer Nature Switzerland
Reference26 articles.
1. Teo, Z.L., et al. Global prevalence of diabetic retinopathy and projection of burden through 2045: systematic review and meta-analysis. Ophthalmology 128(11), 1580–1591 (2021). Elsevier
2. Zhang, J., Strauss, E. C. Sensitive detection of therapeutic efficacy with the ETDRS diabetic retinopathy severity scale. Clin. Ophthalmol., 4385–4393 (2020). Taylor & Francis
3. He, J., et al.: Artificial intelligence-based screening for diabetic retinopathy at community hospital. Eye 34(3), 572–576 (2020). Nature Publishing Group, UK, London
4. Alabdulwahhab, K.M., Sami, W., Mehmood, T., Meo, S.A., Alasbali, T.A., Alwadani, F.A.: Automated detection of diabetic retinopathy using machine learning classifiers. Eur. Rev. Med. Pharmacol. Sci. 25(2), 583–590 (2021)
5. Dutta, S., Manideep, B.C., Basha, S.M., Caytiles, R.D., Iyengar, N.C.S.N.: Classification of diabetic retinopathy images by using deep learning models. Int. J. Grid Distrib. Comput. 11(1), 89–106 (2018)