Author:
González Hernando,Arizmendi Carlos,Aza Jessica
Publisher
Springer International Publishing
Reference10 articles.
1. Saine, P.J., Tyler, M.E.: Ophthalmic Photography: Retinal Photography, Angiography, and Electronic Imaging, 2nd edn. Butterworth-Heinemann Medical (2002). ISBN 0-7506-7372-9
2. Sanchez, C.I., Hornero, R., Lopez, M.I., Aboy, M., Poza, J., Abásolo, D.: A novel automatic image processing algorithm for detection of hard exudates based on retinal image analysis. Med. Eng. Phys. 30, 350–357 (2008)
3. Sopharak, A., Uyyanonvara, B., Barman, S.: Automatic exudate detection from nondilated diabetic retinopathy retinal images using fuzzy c-means clustering. Sensors 9(3), 2148–2161 (2009)
4. Lachure, J., Deorankar, A.V., Lachure, S., Gupta, S., Jadhav, R.: Diabetic retinopathy using morphological operations and machine learning. In: IEEE International Advance Computing Conference (IACC) (2015).
https://doi.org/10.1109/IADCC.2015.7154781
5. Wang, H., Hsu, W., Goh, K., Lee, M.: An effective approach to detect lesions in color retinal images. In: Proceedings IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2000, June 2000.
https://doi.org/10.1109/CVPR.2000.854775