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Self-relabeling for noise-tolerant retina vessel segmentation through label reliability estimation
BACKGROUND: Retinal vessel segmentation benefits significantly from deep learning. Its performance relies on sufficient training images with accurate ground-truth segmentation, which are usually manually annotated in the form of binary pixel-wise label maps. Manually annotated ground-truth label map...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753937/ https://www.ncbi.nlm.nih.gov/pubmed/35022020 http://dx.doi.org/10.1186/s12880-021-00732-y |