Classification of Diabetic Retinopathy Severity Using Deep Learning Techniques on Retinal Images-Reference-Cited by-同舟云学术

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Classification of Diabetic Retinopathy Severity Using Deep Learning Techniques on Retinal Images

Published:2024-07-13 Issue: Volume: Page:1-25
ISSN:0196-9722
Container-title:Cybernetics and Systems
language:en
Short-container-title:Cybernetics and Systems

Author:

Aruna Kumari A.¹,Bhagat Avinash²,Kumar Henge Santosh³

Affiliation:

1. Department of Computer Science and Engineering, Lovely Professional University, Jalandhar, Punjab, India

2. School of Computer Application, Lovely Professional University, Punjab, India

3. Department of Directorate of Online Education, Manipal University Jaipur, Jaipur, Rajasthan, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01969722.2024.2375148

Reference32 articles.

1. “APTOS 2019 Blindness Detection”. 2019. [Online]. Available: https://www.kaggle.com/c/aptos2019-blindness-detection/.

2. Computer-based detection of diabetes retinopathy stages using digital fundus images

3. Banterle, F., A. Artusi, K. Debattista, and A. Chalmers. 2017. Advanced High Dynamic Range Imaging. CRC Press: Boca Raton, FL, USA, ISBN 9781498706940.

4. Automated detection of diabetic retinopathy using SVM

5. Car crash detection using ensemble deep learning and multimodal data from dashboard cameras

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