Publisher
Springer Nature Singapore
Reference21 articles.
1. Manjula Devi, R., Kuppuswami, S., Suganthe, R.C.: Fast linear adaptive skipping training algorithm for training artificial neural network. Math. Probl. Eng. 2013 (2013). https://doi.org/10.1155/2013/346949
2. Devi, R.M., Kuppuswami, S.: EAST: an exponential adaptive skipping training algorithm for multilayer feed forward neural networks. WSEAS Trans. Comput.Comput. 13, 138–151 (2014)
3. Vijayan, T., Sangeetha, M., Kumaravel, A., Karthik, B.: Gabor filter and machine learning based diabetic retinopathy analysis and detection. Microprocess. Microsyst. (8), 103353 (2020). https://doi.org/10.1016/j.micpro.2020.103353
4. Sahlsten, J., et al.: Deep learning fundus image analysis for diabetic retinopathy and macular edema grading. Sci. Rep. 9(1), 1–11 (2019). https://doi.org/10.1038/s41598-019-47181-w
5. Gulshan, V., et al.: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA 316(22), 2402 (2016). https://doi.org/10.1001/jama.2016.17216