Performance of single and multi-atlas based automated landmarking methods compared to expert annotations in volumetric microCT datasets of mouse mandibles

BACKGROUND: Here we present an application of advanced registration and atlas building framework DRAMMS to the automated annotation of mouse mandibles through a series of tests using single and multi-atlas segmentation paradigms and compare the outcomes to the current gold standard, manual annotatio...

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Detalles Bibliográficos
Autores principales: Young, Ryan, Maga, A. Murat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4666065/
https://www.ncbi.nlm.nih.gov/pubmed/26628903
http://dx.doi.org/10.1186/s12983-015-0127-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4666065/
https://www.ncbi.nlm.nih.gov/pubmed/26628903
http://dx.doi.org/10.1186/s12983-015-0127-8

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