Fundus photograph-based deep learning algorithms in detecting diabetic retinopathy

Author:

Raman Rajiv,Srinivasan Sangeetha,Virmani Sunny,Sivaprasad SobhaORCID,Rao Chetan,Rajalakshmi Ramachandran

Publisher

Springer Science and Business Media LLC

Subject

Ophthalmology

Cited by 101 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. An interpretable dual attention network for diabetic retinopathy grading: IDANet;Artificial Intelligence in Medicine;2024-03

2. Estimation of diabetic retinopathy using deep learning;PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON RESEARCH ADVANCES IN ENGINEERING AND TECHNOLOGY - ITechCET 2022;2024

3. Artificial intelligence in ophthalmology I: retinal diseases;Artificial Intelligence in Clinical Practice;2024

4. Multi-Scale Feature Pyramid for Detection of Red Lesions in Fundus Images;International Journal of Recent Technology and Engineering (IJRTE);2023-11-30

5. Comparative Analysis of Diabetic Retinopathy Classification Approaches Using Machine Learning and Deep Learning Techniques;Archives of Computational Methods in Engineering;2023-09-20

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