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cs.CV2018
Application of Deep Learning in Fundus Image Processing for Ophthalmic Diagnosis -- A Review
Sourya Sengupta, Amitojdeep Singh, Henry A. Leopold +2
An overview of the applications of deep learning in ophthalmic diagnosis using retinal fundus images is presented. We also review various retinal image datasets that can be used fo…
cs.CV2017
PixelBNN: Augmenting the PixelCNN with batch normalization and the presentation of a fast architecture for retinal vessel segmentation
Henry A Leopold, Jeff Orchard, John S Zelek +1
Analysis of retinal fundus images is essential for eye-care physicians in the diagnosis, care and treatment of patients. Accurate fundus and/or retinal vessel maps give rise to lon…