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Automatic Cardiac Segmentation Using Semantic Information from Random Forests
We propose a fully automated method for segmenting the cardiac right ventricle (RV) from magnetic resonance (MR) images. Given a MR test image, it is first oversegmented into superpixels and each superpixel is analyzed to detect the presence of RV regions using random forest (RF) classifiers. The su...
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| Publicado no: | J Digit Imaging |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer US
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4391067/ https://ncbi.nlm.nih.gov/pubmed/24895064 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-014-9705-0 |
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