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Automated Segmentation and Shape Characterization of Volumetric Data
Characterization of complex shapes embedded within volumetric data is an important step in a wide range of applications. Standard approaches to this problem employ surface based methods that require inefficient, time consuming, and error prone steps of surface segmentation and inflation to satisfy t...
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Publicado en: | Neuroimage |
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Autores principales: | , |
Formato: | Artigo |
Lenguaje: | Inglês |
Publicado: |
2014
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Materias: | |
Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4324567/ https://ncbi.nlm.nih.gov/pubmed/24521852 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2014.01.053 |
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