Semi-supervised nuclei segmentation based on multi-edge features fusion attention network
The morphology of the nuclei represents most of the clinical pathological information, and nuclei segmentation is a vital step in current automated histopathological image analysis. Supervised machine learning-based segmentation models have already achieved outstanding performance with sufficiently...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science (PLoS)
2023-01-01
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| Schriftenreihe: | PLoS ONE |
| Online-Zugang: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10212084/?tool=EBI |
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