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Unsupervised segmentation of noisy electron microscopy images using salient watersheds and region merging
BACKGROUND: Segmenting electron microscopy (EM) images of cellular and subcellular processes in the nervous system is a key step in many bioimaging pipelines involving classification and labeling of ultrastructures. However, fully automated techniques to segment images are often susceptible to noise...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2013
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3852992/ https://ncbi.nlm.nih.gov/pubmed/24090265 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-14-294 |
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