IMDE-UGAN: Improved Memetic Direction Exploitation Optimized U-Net Generative Adversarial Network for Classification of Diabetic Retinopathy-Reference-Cited by-同舟云学术

IMDE-UGAN: Improved Memetic Direction Exploitation Optimized U-Net Generative Adversarial Network for Classification of Diabetic Retinopathy

Published:2024-02-13 Issue: Volume: Page:1-17
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Karthika S.¹,Durgadevi M.¹

Affiliation:

1. Department of Computer Science and Engineering, SRM Institute of Science and Technology, College of Engineering and Technology, Vadapalani Campus, Chennai, Tamil Nadu, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2024.2310111

Reference28 articles.

1. Transfer learning based robust automatic detection system for diabetic retinopathy grading

2. Y. Wu and Z. Hu. “Recognition of diabetic retinopathy based on transfer learning ” In IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA) IEEE April 2019 pp. 398–401. Y. Wu Z. Hu

3. Diabetic retinopathy detection using transfer learning from pre-trained convolutional;Maida A. S.;Neural Network Models,2022

4. M. T. Hagos and S. Kant. “Transfer learning-based detection of diabetic retinopathy from the small dataset ” arXiv preprint arXiv :1905.07203 2019. M. T. Hagos S. Kant

5. M. Y. T. Yip et al. “Enhanced detection of referable diabetic retinopathy via DCNNS and transfer learning ” In Asian Conference on Computer Vision Cham Springer December 2018 pp. 282-288. M. Y. T. Yip

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