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Data Augmentation for Improving Proliferative Diabetic Retinopathy Detection in Eye Fundus Images

  • Published:2020 Issue: Volume:8 Page:182462-182474
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Araujo TeresaORCID,Aresta GuilhermeORCID,Mendonca Luis,Penas Susana,Maia Carolina,Carneiro Angela,Mendonca Ana MariaORCID,Campilho AurelioORCID

Funder

European Regional Development Fund (ERDF) through the Operational Programme for Competitiveness and Internationalization–COMPETE 2020 Programme

National Funds through the Fundação para a Ciência e a Tecnologia

FCT Grant

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 30 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Keratoconus Detection-based on Dynamic Corneal Deformation Videos Using Deep Learning;Ophthalmology Science;2024-03

2. Fundus Image-Label Pairs Synthesis and Retinopathy Screening via GANs With Class-Imbalanced Semi-Supervised Learning;IEEE Transactions on Medical Imaging;2023-09

3. Retinal vessel segmentation to diagnose diabetic retinopathy using fundus images: A survey;International Journal of Imaging Systems and Technology;2023-08-07

4. SEGAN-BASED LESION SEGMENTATION AND OPTIMIZED RideNN FOR DIABETIC RETINOPATHY CLASSIFICATION;Biomedical Engineering: Applications, Basis and Communications;2023-07-27

5. Detection of Optic Disc in Fundus Images Using K-Mean clustering with Outlier Removal Method;2023 International Conference on Innovations in Engineering and Technology (ICIET);2023-07-13
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