Retinopathy grading with deep learning and wavelet hyper-analytic activations

Author:

Chandrasekaran Raja,Loganathan Balaji

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Reference49 articles.

1. Agrawal, A., Bhatnagar, C., Jalal, A.S.: A survey on automated microaneurysm detection in diabetic retinopathy retinal images. Inf. Syst. Comput. Netw. IEEE. 2, 24–29 (2013)

2. Vashist, P., Singh, S., Gupta, N., Saxena, R.: Role of early screening for diabetic retinopathy in patients with diabetes mellitus: an overview. Indian Community. Med. Publ. Indian. Assoc. Prev. Soc. Med. 36, 247–254 (2011)

3. Diaz, V.: Diabetic retinopathy is blood vessel damage in the retina that happens as a result of diabetes. Medical News Today. https://www.medicalnewstoday.com/articles/183417 (2020)

4. Peterman, S.: The Four Stages of Diabetic Retinopathy. Gris. Worl. Hom. https://www.griswoldhomecare.com (2015).

5. Mateen, M., Wen, J., Hassan, M., Nasrullah, N., Sun, S., Hayat, S.: Automatic detection of diabetic retinopathy: a review on datasets, methods and evaluation metrics. IEEE Access 8, 48784–48811 (2020)

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