A Comparative Study of Filters and Deep Learning Models to predict Diabetic Retinopathy
Author:
Affiliation:
1. Bengaluru Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science & Engineering,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10543249/10543223/10543363.pdf?arnumber=10543363
Reference18 articles.
1. Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks
2. Long-tailed multi-label retinal diseases recognition using hierarchical information and hybrid knowledge distillation;Ju,2021
3. Deep Residual Learning for Image Recognition
4. Automatic detection of diabetic retinopathy using morphological operation and machine learning;Mankar;ABHIYANTRIKI Int. J. Eng. Technol,2016
5. Diabetic Retinopathy using morphological operations and machine learning
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