DCViT: A Hybrid Dilated Convolution-Vision Transformer Model for Retinal Disease Classification Using OCT Images
Retinal disorders are a significant cause of both blindness and temporary or permanent visual impairment. Early diagnosis plays a crucial role in effective treatment. This study proposes a hybrid model that leverages Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) to classify ret...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2026-01-01
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| Colecção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/11609218/ |
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