A Survey on Diabetic Retinopathy Detection Using Deep Learning
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-2641-8_59
Reference17 articles.
1. Thiagarajan AS et al (2020) Diabetic retinopathy detection using deep learning techniques. J Comput Sci 16:305–313
2. Jadhav A et al (2020) Optimal feature selection-based diabetic retinopathy detection using improved rider optimization algorithm enabled with deep learning. Evol Intell pp1–18
3. Gangwar AK, Ravi V (2020) Diabetic retinopathy detection using transfer learning and deep learning. In: Evolution in computational intelligence, advances in intelligent systems and computing, vol 1176
4. Heisler M et al (2020) Ensemble deep learning for diabetic retinopathy detection using optical coherence tomography angiography. Transl Vis Sci Technol 9(2)
5. Shankar K et al (2020) Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model. Pattern Recogn Lett 133:210–216
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Intelligent system for detection and classification of diabetic retinopathy;AIP Conference Proceedings;2024
2. Vessel Segmentation Approach with Deep Neural Network Model for Detection of Diabetic Retinopathy;2021 4th International Conference on Recent Trends in Computer Science and Technology (ICRTCST);2022-02-11
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