Prediction of Diabetic Retinopathy Using Deep Learning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61287-9_5
Reference17 articles.
1. Mushtaq, G., Siddiqui, F.: Detection of diabetic retinopathy using deep learning methodology. IOP Conf. Seri. Mater. Sci. Eng. 1070, 012049 (2021). https://doi.org/10.1088/1757-899X/1070/1/012049
2. Das, D., Biswas, S., Bandyopadhyay, S.: A critical review on diagnosis of diabetic retinopathy using machine learning and deep learning. Multimedia Tools Appl. 81, 1–43 (2022). https://doi.org/10.1007/s11042-022-12642-4
3. Chakrabarty, N.: A deep learning method for the detection of diabetic retinopathy (2019). https://doi.org/10.1109/UPCON.2018.8596839
4. Nadeem, M.W., Goh, H.G., Hussain, M., Liew, S.Y., Andonovic, I., Khan, M.A.: Deep learning for diabetic retinopathy analysis: a review, research challenges, and future directions. Sensors 22(18), 6780 (2022). PMID: 36146130; PMCID: PMC9505428. https://doi.org/10.3390/s22186780
5. Mishra, S., Hanchate, S., Saquib, Z.: Diabetic retinopathy detection using deep learning. In: 2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE), Bengaluru, India, pp. 515–520 (2020). https://doi.org/10.1109/ICSTCEE49637.2020.9277506
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