The Development of a Tool for the Detection of Cotton Wool Spots, Haemorrhage, and Exudates Using Multi-resolution Analysis

Author:

Rajput YogeshORCID,Gaikwad Sonali,Dhumal RajeshORCID,Gaikwad Jyotsna

Publisher

Springer Nature Singapore

Reference24 articles.

1. American Academy of Ophthalmology: Protecting Sight. Empowering Lives—American Academy of Ophthalmology. (n.d.). https://www.aao.org/

2. Akram UM, Khan SA (2011) Automated detection of dark and bright lesions in retinal images for early detection of diabetic retinopathy. Springer Science+Business Media, LLC

3. Rupa VL, Kulkarni PS (2013) Automatic diagnosis of diabetic retinopathy by hybrid multilayer feed forward neural network. Int J Sci Eng Technol Res (IJSETR) 2(9), Sept 2013

4. Yazid H, Arof H, Mokhtar N (2010) Edge sharpening for diabetic retinopathy detection. In: IEEE conference on cybernetics and intelligent systems

5. Kumari S, Vijay R (2012) Effect of symlet filter order on denoising of stillimages3. Adv Comput Int J (ACIJ) 3(1), Jan 2012. https://doi.org/10.5121/acij.2012.3112

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