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BCR-UNet: Bi-directional ConvLSTM residual U-Net for retinal blood vessel segmentation
BACKGROUND: High precision segmentation of retinal blood vessels from retinal images is a significant step for doctors to diagnose many diseases such as glaucoma and cardiovascular diseases. However, at the peripheral region of vessels, previous U-Net-based segmentation methods failed to significant...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722738/ https://www.ncbi.nlm.nih.gov/pubmed/36483248 http://dx.doi.org/10.3389/fpubh.2022.1056226 |