Deep Learning for Diabetic Retinopathy Detection: Challenges and Opportunities

Author:

Jagan Mohan N.ORCID,Murugan R.ORCID,Goel TriptiORCID

Publisher

Springer Nature Singapore

Reference57 articles.

1. Tymchenko, B. (2019). Deep learning approach to diabetic retinopathy detection.

2. Senior, K. R. (2010). The eye: The physiology of human perception. The Rosen Publishing Group, Inc.

3. Jain, A. B., Prakash, V. J., & Bhende, M. (2015). Techniques of fundus imaging. Journal of Medical and Vision Research Foundations, XXXIII(2), 100–107.

4. Badar, M., Haris, M., & Fatima, A. (2020). Application of deep learning for retinal image analysis: A review, 35.

5. Pachiyappan, A., Das, U. N., Murthy, T. V. S. P., & Tatavarti, R. (2012). Automated diagnosis of diabetic retinopathy and glaucoma using fundus and OCT images. Lipids in Health and Disease, 11(1), 1–10.

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