Automatic non-proliferative diabetic retinopathy screening system based on color fundus image

Author:

Xiao Zhitao,Zhang Xinpeng,Geng Lei,Zhang Fang,Wu Jun,Tong Jun,Ogunbona Philip O.,Shan Chunyan

Funder

Tianjin Science and Technology Supporting Program

Natural Science Foundation of Tianjin City

Specialized Research Fund for the Doctoral Program of Higher Education of China

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging,Biomedical Engineering,General Medicine,Biomaterials,Radiological and Ultrasound Technology

Cited by 27 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. Diabetic retinopathy detection using supervised and unsupervised deep learning: a review study;Artificial Intelligence Review;2024-05-02

2. Bio-inspired Heuristic Optimization-based Cascaded Network for Diabetic Retinopathy Screening;2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE);2024-04-25

3. Deep learning of fundus images and optical coherence tomography images for ocular disease detection – a review;Multimedia Tools and Applications;2024-03-26

4. Cup and Disc Segmentation Algorithm Based on Improved Swin-UNet Model;2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC);2024-03-15

5. A Systematic Review on Deep Learning Techniques for Diabetic Retinopathy Segmentation and Detection Using Ocular Imaging Modalities;Wireless Personal Communications;2024-01

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