Author:
Patil Tanmay,Kundkar Rushikesh,Pande Sarvadnya,Katkamwar Yash,Joshi Amit,Sawant Suraj
Publisher
Springer Nature Switzerland
Reference26 articles.
1. Stitt, A. W., Curtis, T. M., Chen, M., Medina, R. J., McKay, G. J., Jenkins, A., et al. (2016). The progress in understanding and treatment of diabetic retinopathy. Progress in Retinal and Eye Research, 51, 156–186.
2. Sabanayagam, C., Banu, R., Chee, M. L., Lee, R., Wang, Y. X., Tan, G., et al. (2019). Incidence and progression of diabetic retinopathy: A systematic review. The Lancet Diabetes & Endocrinology, 7(2), 140–149.
3. Aiello, L. M. (2003). Perspectives on diabetic retinopathy. American Journal of Ophthalmology, 136(1), 122–135.
4. Ramos, J. M. A., Perdómo, O., & González, F. A. (2022). Deep semi-supervised and self-supervised learning for diabetic retinopathy detection. arXiv preprint arXiv:2208.02408.
5. Badar, M., Haris, M., & Fatima, A. (2020). Application of deep learning for retinal image analysis: A review. Computer Science Review, 35, 100203.
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