Efficient Multi-Atlas 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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Bibliographic Details
Published in:Med Image Anal
Main Authors: Xu, Zhoubing, Burke, Ryan P., Lee, Christopher P., Baucom, Rebeccah B., Poulose, Benjamin K., Abramson, Richard G., Landman, Bennett A.
Format: Artigo
Language:Inglês
Published: 2015
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Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC4532551/
https://ncbi.nlm.nih.gov/pubmed/26046403
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2015.05.009
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