Detection of Diabetic Retinopathy Based on a Convolutional Neural Network Using Retinal Fundus Images-Reference-Cited by-同舟云学术

Detection of Diabetic Retinopathy Based on a Convolutional Neural Network Using Retinal Fundus Images

Published:2017 Issue: Volume: Page:635-642
ISSN:0302-9743
Container-title:Artificial Neural Networks and Machine Learning – ICANN 2017
language:
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Author:

García Gabriel,Gallardo Jhair,Mauricio Antoni,López Jorge,Del Carpio Christian

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-68612-7_72

Reference16 articles.

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2. Maher, R., Kayte, S., Dhopeshwarkar, D.M.: Review of automated detection for diabetes retinopathy using fundus images. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 5(3) (2015)

3. Thomas, N., Mahesh, T.: Detecting clinical features of diabetic retinopathy using image processing. Int. J. Eng. Res. Technol. (IJERT) 3(8) (2014)

4. Singh, B., Jayasree, K.: Implementation of diabetic retinopathy detection system for enhance digital fundus images. Int. J. Adv. Technol. Innov. Res. 7(6), 0874–0876 (2015)

5. Gandhi, M., Dhanasekaran, R.: Diagnosis of diabetic retinopathy using morphological process and SVM classifier. In: 2013 International Conference on Communications and Signal Processing (ICCSP). IEEE (2013)

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