LBP and Machine Learning for Diabetic Retinopathy Detection

Author:

de la Calleja Jorge,Tecuapetla Lourdes,Auxilio Medina Ma.,Bárcenas Everardo,Urbina Nájera Argelia B.

Publisher

Springer International Publishing

Cited by 28 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. Empowering Diabetic Eye Disease Detection: Leveraging Differential Evolution for Optimized Convolution Neural Networks;International Journal of Online and Biomedical Engineering (iJOE);2024-07-16

2. Segmented Fractal and Central Symmetric LBP Based Texture Features for the Detection of Diabetic Retinopathy Using SVM;SN Computer Science;2024-06-13

3. Detecting Diabetic Retinopathy using ResNet50 and Explainable AI;2023 IEEE International Carnahan Conference on Security Technology (ICCST);2023-10-11

4. ESOA-HGRU: egret swarm optimization algorithm-based hybrid gated recurrent unit for classification of diabetic retinopathy;Artificial Intelligence Review;2023-09-13

5. A Deep Learning Fusion Approach for Automatic Diagnosis and Grading of Diabetic Retinopathy;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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