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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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Detalles Bibliográficos
Publicado en:Neuroimage
Autores principales: Galinsky, Vitaly L., Frank, Lawrence R.
Formato: Artigo
Lenguaje:Inglês
Publicado: 2014
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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