Classification of eye-fundus images with diabetic retinopathy using shape based features integrated into a convolutional neural network-Reference-Cited by-同舟云学术

Classification of eye-fundus images with diabetic retinopathy using shape based features integrated into a convolutional neural network

Published:2020-01-02 Issue:1 Volume:41 Page:217-227
ISSN:0252-2667
Container-title:Journal of Information and Optimization Sciences
language:en
Short-container-title:Journal of Information and Optimization Sciences

Author:

Srivastava Varun¹,Purwar Ravindra Kumar¹

Affiliation:

1. University School of Information, Communication & Technology, Guru Gobind Singh Indraprastha University Sector 16C, Dwarka, New Delhi 110078 India,

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02522667.2020.1714186

Reference27 articles.

1. Screening for diabetic retinopathy using computer based image analysis and statistical classification

2. Quantitative analysis of retinopathy in type 2 diabetes: identification of prognostic parameters for developing visual loss secondary to diabetic maculopathy

3. Automated detection of diabetic retinopathy on digital fundus images

4. Automatic detection of red lesions in digital color fundus photographs

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