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SFA-Net: Scale and Feature Aggregate Network for Retinal Vessel Segmentation
A U-Net-based network has achieved competitive performance in retinal vessel segmentation. Previous work has focused on using multilevel high-level features to improve segmentation accuracy but has ignored the importance of shallow-level features. In addition, multiple upsampling and convolution ope...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616669/ https://www.ncbi.nlm.nih.gov/pubmed/36312595 http://dx.doi.org/10.1155/2022/4695136 |