Deep learning-based CNN for multiclassification of ocular diseases using transfer learning
Author:
Affiliation:
1. Department of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India
Funder
no funds
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/21681163.2024.2335959
Reference59 articles.
1. Machine Learning Methods for Diagnosis of Eye-Related Diseases: A Systematic Review Study Based on Ophthalmic Imaging Modalities
2. Combining Artificial Intelligence and Image Processing for Diagnosing Diabetic Retinopathy in Retinal Fundus Images
3. Identification of Cataract and Post-cataract Surgery Optical Images Using Artificial Intelligence Techniques
4. A deep learning model for the detection of both advanced and early glaucoma using fundus photography
5. Towards a Better Understanding of Transfer Learning for Medical Imaging: A Case Study
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1. Detection and comparison of reversible shape transformations in responsive polymers using deep learning and knowledge transfer by identifying stimulus-triggering characteristic points;Engineering Applications of Artificial Intelligence;2024-10
2. A Review on Multiple-Ocular Disease Detection Methodology using ML and DL Techniques;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-09-05
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