Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Reference94 articles.
1. Abbas Q, Fondon I, Sarmiento A, Jiménez S, Alemany P (2017) Automatic recognition of severity level for diagnosis of diabetic retinopathy using deep visual features. Med Biol Eng Comput Nov 55(11):1959–1974
2. Akilesh B, Marwah T, Balasubramanian VN, Rajamani K (2017) On the relevance of very deep networks for diabetic retinopathy diagnostics. Applications of Cognitive Computing Systems and IBM Watson. Springer, Singapore, pp 47–54
3. Alyoubi WL, Abulkhair MF, Shalash WM (2021) Diabetic Retinopathy Fundus Image Classification and Lesions Localization System. Using Deep Learning Sensors 21(11):3704
4. Alyoubi WL, Shalash WM, Abulkhair MF (2020) Diabetic retinopathy detection through deep learning techniques: A review Informatics in Medicine Unlocked, 20, 100377
5. Annapoorani MC, Bobby JS, Anandhi B, Hema P (2021) Deep Multiple Instance Learning for Automatic Detection of Diabetic Retinopathy in Retinal Images Annals of the Romanian Society for Cell Biology. 25:13696–137096
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