Deep learning in the grading of diabetic retinopathy: A review

• Main Authors: Nurul Mirza Afiqah, Tajudin, Kuryati, Kipli, Muhammad Hamdi, Mahmood, Lik Thai, Lim, Dayang Azra, Awang Mat, Rohana, Sapawi, Siti Kudnie, Sahari, Kasumawati, Lias, Suriati Khartini, Jali, Mohammed Enamul, Hoque
• Format: Article
• Language: English
• Published: John Wiley & Sons Ltd 2022
• Subjects: Q Science (General); RE Ophthalmology; T Technology (General)
• Online Access: http://ir.unimas.my/id/eprint/39132/3/Deep%20learning%20-%20Copy.pdf; http://ir.unimas.my/id/eprint/39132/; https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/cvi2.12116; https://doi.org/10.1049/cvi2.12116

Diabetic Retinopathy (DR) grading into different stages of severity continues to remain a challenging issue due to the complexities of the disease. Diabetic Retinopathy grading classifies retinal images to five levels of severity ranging from 0 to 5, which represents No DR, Mild non‐proliferative d...