Algorithms for the Automated Detection of Diabetic Retinopathy Using Digital Fundus Images: A Review

By Oliver Faust, R. Acharya U., E. Ng, K. Ng, Jasjit S. Suri. Journal of medical systems, 2012

347 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Ophthalmology, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/321a051bc168d4e373348f1fd924739ea952b1ee

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1. Tarun Gangil
2. N. Sneha

Citations in the corpus

• Convolutional neural networks based transfer learning for diabetic retinopathy fundus image classification (2017, neutral): “the patient’s vision [17].”
• Analysis of diabetes mellitus for early prediction using optimal features selection (2019, background): “A Diabetic individual should deal with eye vision through a few tests and pharmaceutical at the beginning times [20].”