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Dense U-net Based on Patch-Based Learning for Retinal Vessel Segmentation
Various retinal vessel segmentation methods based on convolutional neural networks were proposed recently, and Dense U-net as a new semantic segmentation network was successfully applied to scene segmentation. Retinal vessel is tiny, and the features of retinal vessel can be learned effectively by t...
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| Publicado no: | Entropy (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7514650/ https://ncbi.nlm.nih.gov/pubmed/33266884 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21020168 |
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