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Machine learning in a graph framework for subcortical segmentation
Automated and reliable segmentation of subcortical structures from human brain magnetic resonance images is of great importance for volumetric and shape analyses in quantitative neuroimaging studies. However, poor boundary contrast and variable shape of these structures make the automated segmentati...
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| Publicado no: | Proc SPIE Int Soc Opt Eng |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5471906/ https://ncbi.nlm.nih.gov/pubmed/28626291 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2254874 |
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