Blood Vessel Segmentation of Retinal Image Based on Dense-U-Net Network
The accurate segmentation of retinal blood vessels in fundus is of great practical significance to help doctors diagnose fundus diseases. Aiming to solve the problems of serious segmentation errors and low accuracy in traditional retinal segmentation, a scheme based on the combination of U-Net and D...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2021-11-01
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| Colecção: | Micromachines |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2072-666X/12/12/1478 |
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