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Multi-Atlas Segmentation with Joint Label Fusion
Multi-atlas segmentation is an effective approach for automatically labeling objects of interest in biomedical images. In this approach, multiple expert-segmented example images, called atlases, are registered to a target image, and deformed atlas segmentations are combined using label fusion. Among...
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| Главные авторы: | , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2012
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3864549/ https://ncbi.nlm.nih.gov/pubmed/22732662 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TPAMI.2012.143 |
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