Automatic detection of papilledema through fundus retinal images using deep learning

Author:

Saba Tanzila1,Akbar Shahzad2,Kolivand Hoshang34,Ali Bahaj Saeed5

Affiliation:

1. Artificial Intelligence & Data Analytics (AIDA) Lab CCIS Prince Sultan University Riyadh 11586 Saudi Arabia

2. Department of Computing Riphah International University, Faisalabad Campus Faisalabad 38000 Pakistan

3. School of Computer Science and Mathematics Liverpool John Moores University Liverpool United Kingdom

4. School of Computing and Digital Technologies, Staffordshire University Staffordshire United Kingdom

5. MIS Department College of Business Administration, Prince Sattam bin Abdulaziz University Al‐Kharj Saudi Arabia

Publisher

Wiley

Subject

Medical Laboratory Technology,Instrumentation,Histology,Anatomy

Cited by 49 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. Diagnostic dilemma of papilledema and pseudopapilledema;International Ophthalmology;2024-06-25

2. Deep Learning‐Based Automated Detection and Grading of Papilledema From OCT Images: A Promising Approach for Improved Clinical Diagnosis and Management;International Journal of Imaging Systems and Technology;2024-06-21

3. An evaluation of AI-based methods for papilledema detection in retinal fundus images;Biomedical Signal Processing and Control;2024-06

4. Deep Transfer Learning-Based Automated Diabetic Retinopathy Detection Using Retinal Fundus Images in Remote Areas;International Journal of Computational Intelligence Systems;2024-05-29

5. Fuzzy Logic-Based AI Model for Accurate Grading of Papilledema Severity;2024 14th International Conference on Electrical Engineering (ICEENG);2024-05-21

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