Multi-dimensional fuzzy based diabetic retinopathy detection in retinal images through deep CNN method
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19798-1.pdf
Reference27 articles.
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2. Joseph SIT, Sravanthi T, Karunakaran V, Priyadharsini C (2020) Investigation of machine learning methodologies in microaneurysms discernment. Adv Intel. Syst Comput 1108:1327–1334. https://doi.org/10.1007/978-3-030-37218-7_139
3. Nahiduzzaman M, Islam R, Goni OF, Anower S, Ahsan M, Haider J, Kowalski M (2023) Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier. Expert Syst Appl 217:119557
4. Bora A, Balasubramanian S, Babenko B et al (2021) Predicting the risk of developing diabetic retinopathy using deep learning. Lancet Digital Health 3(1):e10–e19. https://doi.org/10.1016/s2589-7500(20)30250-8
5. A Bhavsar Diabetic Retinopathy Clinical Presentation: History, Physical Examination, 2022. https://emedicine.medscape.com/article/1225122-clinical#b3 (accessed Feb. 26, 2023)
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