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“Keep it simple, scholar”: an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging
PURPOSE: With the recent development of deep learning technologies, various neural networks have been proposed for fundus retinal vessel segmentation. Among them, the U-Net is regarded as one of the most successful architectures. In this work, we start with simplification of the U-Net, and explore t...
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| Veröffentlicht in: | Int J Comput Assist Radiol Surg |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer International Publishing
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8166700/ https://ncbi.nlm.nih.gov/pubmed/33929676 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11548-021-02340-1 |
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