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Efficient Abdominal Segmentation on Clinically Acquired CT with SIMPLE Context Learning

Abdominal segmentation on clinically acquired computed tomography (CT) has been a challenging problem given the inter-subject variance of human abdomens and complex 3-D relationships among organs. Multi-atlas segmentation (MAS) provides a potentially robust solution by leveraging label atlases via i...

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Dades bibliogràfiques
Publicat a:Proc SPIE Int Soc Opt Eng
Autors principals: Xu, Zhoubing, Burke, Ryan P., Lee, Christopher P., Baucom, Rebeccah B., Poulose, Benjamin K., Abramson, Richard G., Landman, Bennett A.
Format: Artigo
Idioma:Inglês
Publicat: 2015
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC4405802/
https://ncbi.nlm.nih.gov/pubmed/25914506
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2081012
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