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Touching Soma Segmentation Based on the Rayburst Sampling Algorithm
Neuronal soma segmentation is essential for morphology quantification analysis. Rapid advances in light microscope imaging techniques have generated such massive amounts of data that time-consuming manual methods cannot meet requirements for high throughput. However, touching soma segmentation is st...
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| Publié dans: | Neuroinformatics |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Springer US
2017
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5671566/ https://ncbi.nlm.nih.gov/pubmed/28940176 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s12021-017-9336-y |
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