DR-FL: A Novel Diabetic Retinopathy Grading with Federated Learning Using Fundus Images
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4056-1_24
Reference23 articles.
1. Alyoubi WL, Shalash WM, Abulkhair MF (2020) Diabetic retinopathy detection through deep learning techniques: a review. Inform Med Unlocked 20:100377
2. Mohan NJ, Murugan R, Goel T, Roy P (2021) Exudate localization in retinal fundus images using modified speeded up robust features algorithm. In: 2020 IEEE-EMBS conference on biomedical engineering and sciences (IECBES), pp 367–371
3. Jagan Mohan N, Murugan R, Goel T, Mirjalili S, Roy P (2021) A novel four-step feature selection technique for diabetic retinopathy grading. Phys Eng Sci Med 44(4):1351–1366
4. Jagan Mohan N, Murugan R, Goel T, Roy P (2020) An improved accuracy rate in microaneurysms detection in retinal fundus images using non-local mean filter. In: International conference on machine learning, image processing, network security and data sciences, pp 183–193
5. Mohan NJ, Murugan R, Goel T, Roy P (2021) Exudate detection with improved U-net using fundus images. In: 2021 International conference on computational performance evaluation (ComPE), pp 560–564
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