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MFI-Net: A multi-resolution fusion input network for retinal vessel segmentation
Segmentation of retinal vessels is important for doctors to diagnose some diseases. The segmentation accuracy of retinal vessels can be effectively improved by using deep learning methods. However, most of the existing methods are incomplete for shallow feature extraction, and some superficial featu...
Tallennettuna:
| Julkaisussa: | PLoS One |
|---|---|
| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8274903/ https://ncbi.nlm.nih.gov/pubmed/34252111 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0253056 |
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