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Liver segmentation from CT images using a sparse priori statistical shape model (SP-SSM)
This study proposes a new liver segmentation method based on a sparse a priori statistical shape model (SP-SSM). First, mark points are selected in the liver a priori model and the original image. Then, the a priori shape and its mark points are used to obtain a dictionary for the liver boundary inf...
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| Опубликовано в: : | PLoS One |
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| Главные авторы: | , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2017
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5628825/ https://ncbi.nlm.nih.gov/pubmed/28981530 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0185249 |
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