Retinal Vessel Segmentation Based on a Lightweight U-Net and Reverse Attention
U-shaped architectures have achieved exceptional performance in medical image segmentation. Their aim is to extract features by two symmetrical paths: an encoder and a decoder. We propose a lightweight U-Net incorporating reverse attention and a preprocessing framework for accurate retinal vessel se...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2025-07-01
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| coleção: | Mathematics |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2227-7390/13/13/2203 |
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