Performance of ResNet‐18 and InceptionResNetV2 in Automated Detection of Diabetic Retinopathy
ABSTRACT Background Diabetic retinopathy (DR) is a leading cause of blindness worldwide, particularly in diabetic individuals. Manual detection of DR by ophthalmologists is time‐consuming and resource‐intensive, making early automated detection essential for mitigating the risk of vision impairment....
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wiley
2025-09-01
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| coleção: | Medicine Advances |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1002/med4.70023 |
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