Recognition of diabetic retinopathy and macular edema using deep learning
Author:
Funder
Deputyship of Research & Innovation, Ministry of Education in Saudi Arabia
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11517-024-03105-z.pdf
Reference63 articles.
1. Nawaz M et al (2022) An efficient deep learning approach to automatic glaucoma detection using optic disc and optic cup localization. Sensors 22(2):434
2. Nazir T et al (2021) Detection of diabetic eye disease from retinal images using a deep learning based CenterNet model. Sensors 21(16):5283
3. Nazir T, Irtaza A, Rashid J, Nawaz M, Mehmood T (2020) Diabetic retinopathy lesions detection using faster-RCNN from retinal images, in 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH), IEEE, pp. 38–42
4. Nawaz M, Nazir T, Masood M (2021) Glaucoma detection using tetragonal local octa patterns and SVM from retinal images. Int Arab J Inf Technol 18(5):686–693
5. Jacoba CMP et al (2023) Performance of automated machine learning for diabetic retinopathy image classification from multi-field handheld retinal images. Ophthalmol Retina 7(8):703–712
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