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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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| Foilsithe in: | Proc SPIE Int Soc Opt Eng |
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| Main Authors: | , , , , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
2015
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| Ábhair: | |
| Rochtain Ar Líne: | 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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