Version 1
: Received: 30 May 2020 / Approved: 31 May 2020 / Online: 31 May 2020 (18:55:43 CEST)
How to cite:
Sampaul Thomas, G. A.; Robinson, Y. H.; Julie, E. G.; Shanmuganathan, V.; Nam, Y.; Rho, S. Diabetic Retinopathy Diagnostics from Retinal Images based on Deep Convolutional Networks. Preprints2020, 2020050493. https://doi.org/10.20944/preprints202005.0493.v1
Sampaul Thomas, G. A.; Robinson, Y. H.; Julie, E. G.; Shanmuganathan, V.; Nam, Y.; Rho, S. Diabetic Retinopathy Diagnostics from Retinal Images based on Deep Convolutional Networks. Preprints 2020, 2020050493. https://doi.org/10.20944/preprints202005.0493.v1
Sampaul Thomas, G. A.; Robinson, Y. H.; Julie, E. G.; Shanmuganathan, V.; Nam, Y.; Rho, S. Diabetic Retinopathy Diagnostics from Retinal Images based on Deep Convolutional Networks. Preprints2020, 2020050493. https://doi.org/10.20944/preprints202005.0493.v1
APA Style
Sampaul Thomas, G. A., Robinson, Y. H., Julie, E. G., Shanmuganathan, V., Nam, Y., & Rho, S. (2020). Diabetic Retinopathy Diagnostics from Retinal Images based on Deep Convolutional Networks. Preprints. https://doi.org/10.20944/preprints202005.0493.v1
Chicago/Turabian Style
Sampaul Thomas, G. A., Yunyoung Nam and Seungmin Rho. 2020 "Diabetic Retinopathy Diagnostics from Retinal Images based on Deep Convolutional Networks" Preprints. https://doi.org/10.20944/preprints202005.0493.v1
Abstract
Retinopathy is a human eye disease that causes changes in retinal blood vessels that leads to bleed, leak fluid and vision impairment. Symptoms of retinopathy are blurred vision, changes in color perception, red spots, and eye pain. In this paper, a new methodology based on Convolutional Neural Networks (CNN) is developed and proposed to diagnose and give a decision about the presence of retinopathy. The CNN model is trained by different images of eyes that have retinopathy and those which do not have retinopathy. The performance of the proposed model is compared with the related methods of DREAM, KNN, GD-CNN and SVM. Experimental results show that the proposed CNN performs better.
Computer Science and Mathematics, Computer Vision and Graphics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.