Referable Diabetic Retinopathy Detection Using Deep Feature Extraction and Random Forest
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-38854-5_21
Reference64 articles.
1. Diabetic retinopathy - NHS. https://www.nhs.uk/conditions/diabetic-retinopathy/. Accessed 20 Nov 2021
2. Zheng, Y., He, M., Congdon, N.: The worldwide epidemic of diabetic retinopathy. Indian J. Ophthalmol. 60(5), 428–431 (2012). https://doi.org/10.4103/0301-4738.100542
3. Vashist, P., Singh, S., Gupta, N., Saxena, R.: Role of early screening for diabetic retinopathy in patients with diabetes mellitus: an overview. Indian J. Community Med. 36(4), 247–252 (2011). https://doi.org/10.4103/0970-0218.91324
4. Raju, M., Pagidimarri, V., Barreto, R., Kadam, A., Kasivajjala, V., Aswath, A.: Development of a deep learning algorithm for automatic diagnosis of diabetic retinopathy. Stud. Health Technol. Inform. 245, 559–563 (2017). https://doi.org/10.3233/978-1-61499-830-3-559
5. Zeng, X., Chen, H., Luo, Y., Ye, W.: Automated diabetic retinopathy detection based on binocular siamese-like convolutional neural network. IEEE Access 7, 30744–30753 (2019). https://doi.org/10.1109/ACCESS.2019.2903171
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