Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)
Reference24 articles.
1. Haloi, M., Dandapat, S. and Sinha, R., A Gaussian scale space approach for exudates detection, classification and severity prediction.arXiv preprint arXiv:1505.00737, 2015.
2. Raj, A.M and Mani, S.A., Retinal Abnormality Risk Prediction Model: A hybrid approach based on vessel characteristics and exudates. Artificial intelligence and evolutionary computations in engineering systems, Springer, New Delhi, 803–818, 2016.
3. Ajwahir, M. I.S., Rajamani, K, and Sadhar, S.I., A novel technique for splat generation and patch level prediction in diabetic retinopathy. Annual conference on medical image understanding and analysis, Springer, Cham 50–59, 2017.
4. Marin, D., Gegundez-Arias, M. E., Ponte, B., Alvarez, F., Garrido, J., Ortega, C., Vasallo, M. J., and Bravo, J. M., An exudate detection method for diagnosis risk of diabetic macular edema in retinal images using feature-based and supervised classification. Med. Biol. Eng. Comput. 56(8):1379–1390, 2018.
5. Li, G., Zheng, S. and Li, X., Exudate detection in fundus images via convolutional neural network. International forum on digital TV and wireless multimedia communications, Springer, Singapore 193–202, 2017.
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