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INTEGRATING SEMI-SUPERVISED LABEL PROPAGATION AND RANDOM FORESTS FOR MULTI-ATLAS BASED HIPPOCAMPUS SEGMENTATION
A novel multi-atlas based image segmentation method is proposed by integrating a semi-supervised label propagation method and a supervised random forests method in a pattern recognition based label fusion framework. The semi-supervised label propagation method takes into consideration local and glob...
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| Publicado no: | Proc IEEE Int Symp Biomed Imaging |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6070300/ https://ncbi.nlm.nih.gov/pubmed/30079126 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2018.8363544 |
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