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Graph-based active learning of agglomeration (GALA): a Python library to segment 2D and 3D neuroimages
The aim in high-resolution connectomics is to reconstruct complete neuronal connectivity in a tissue. Currently, the only technology capable of resolving the smallest neuronal processes is electron microscopy (EM). Thus, a common approach to network reconstruction is to perform (error-prone) automat...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3983515/ https://www.ncbi.nlm.nih.gov/pubmed/24772079 http://dx.doi.org/10.3389/fninf.2014.00034 |