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Effective automated pipeline for 3D reconstruction of synapses based on deep learning
BACKGROUND: The locations and shapes of synapses are important in reconstructing connectomes and analyzing synaptic plasticity. However, current synapse detection and segmentation methods are still not adequate for accurately acquiring the synaptic connectivity, and they cannot effectively alleviate...
Gorde:
| Argitaratua izan da: | BMC Bioinformatics |
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| Egile Nagusiak: | , , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
BioMed Central
2018
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6044049/ https://ncbi.nlm.nih.gov/pubmed/30005590 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2232-0 |
| Etiketak: |
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