Retinal Image Analysis Approach for Diabetic Retinopathy Grading
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-98883-8_11
Reference18 articles.
1. Diabetic Retinopathy Elmhurst. https://www.kovacheye.com/retina-elmhurst/diabetic-retinopathy/
2. Gulshan, V., et al.: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA 316(22), 2402 (2016). https://doi.org/10.1001/jama.2016.17216
3. Gargeya, R., Leng, T.: Automated identification of diabetic retinopathy using deep learning. Ophthalmology 124(7), 962–969 (2017). https://doi.org/10.1016/j.ophtha.2017.02.008
4. Alyoubi, W.L., Shalash, W.M., Abulkhair, M.F.: Diabetic retinopathy detection through deep learning technique: a review. Inform. Med. Unlocked 20, 1–11 (2020)
5. Starovoitov, V.V., Golub, Y.I.: New function for estimating imbalanced data classification results. Pattern Recogn. Image Anal. 30(3), 295–302 (2020). https://doi.org/10.1134/S105466182003027X
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