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Multichannel Retinal Blood Vessel Segmentation Based on the Combination of Matched Filter and U-Net Network
Aiming at the current problem of insufficient extraction of small retinal blood vessels, we propose a retinal blood vessel segmentation algorithm that combines supervised learning and unsupervised learning algorithms. In this study, we use a multiscale matched filter with vessel enhancement capabili...
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| Опубликовано в: : | Biomed Res Int |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Hindawi
2021
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8172291/ https://ncbi.nlm.nih.gov/pubmed/34124247 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2021/5561125 |
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