RLeU-Net: Segmentation of blood vessels in retinal fundus images for Diabetic Retinopathy Screening
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19159-y.pdf
Reference28 articles.
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2. Narkthewan A, Maneerat N (2019) Retina blood vessel detection for diabetic retinopathy diagnosis. In: Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology, pp 149–152. https://doi.org/10.1145/3326172.3326203
3. Diag Mookiah MRK, Acharya UR, Chua CK, Lim CM, Ng EYK, Laude A (2013) Computer-aided diagnosis of diabetic retinopathy: A review. Comput Biol Med 43(12):2136–2155
4. Mateen M, Wen J, Hassan M, Nasrullah N, Sun S, Hayat S (2020) Automatic detection of diabetic retinopathy: a review on datasets, methods and evaluation metrics. IEEE Access 8:48784–48811
5. Shenavarmasouleh F, Arabnia HR (2021) Drdr: Automatic masking of exudates and microaneurysms caused by diabetic retinopathy using mask r-cnn and transfer learning. In: Advances in Computer Vision and Computational Biology: Proceedings from IPCV’20, HIMS’20, BIOCOMP’20, and BIOENG’20. Springer International Publishing, Cham, pp 307–318. https://doi.org/10.1007/978-3-030-71051-4_24
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