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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2013
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3852992/ https://www.ncbi.nlm.nih.gov/pubmed/24090265 http://dx.doi.org/10.1186/1471-2105-14-294 |