Evolutionary Discriminative Deep Belief Network Based Diabetic Retinopathy Classification

Author:

Saranya Rubini S.ORCID,Sathya K.ORCID,Saveeth R.ORCID,Prabhavathy M.ORCID

Publisher

Springer Nature Singapore

Reference31 articles.

1. Gandhimathi S, Pillai K (2018) Detection of neovascularization in proliferative diabetic retinopathy fundus images. Int Arab J Inform Technol

2. Thacker T (2009) India has largest number of diabetes patients. Report 2009

3. Rama Raju V, Mani Sree HIS (2018) Disease severity based on areas of exudates, blood vessels and microaneurysms in retinal fundus images using K-means clustering. Int J Eng Sci Invent (IJESI) 7(1):7–19

4. Costa P, Galdran A, Smailagic A, Campilho A (2017) A weakly-supervised framework for interpretable diabetic retinopathy detection on retinal images. IEEE Access

5. Seoud L, Hurtut T, Chelbi J, Cheriet F, Pierre Langlois JM (2015) Red lesion detection using dynamic shape features for diabetic retinopathy screening. IEEE Trans Med Imag

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