Classification of diabetic retinopathy using ensemble convolutional neural network architectures
Background Diabetic retinopathy (DR) constitutes a primary cause of blindness across all age groups. Ophthalmologists examine fundus images (FI) to detect and classify stages of DR. Development of deep learning can help clinicians to attain a larger volume in screening and diagnosing diabetic reti...
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| Автори: | , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Faculty of Medicine Trisakti University
2024-07-01
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| Серія: | Universa Medicina |
| Предмети: | |
| Онлайн доступ: | https://univmed.org/ejurnal/index.php/medicina/article/view/1583 |
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