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ANATOMICAL GUIDED SEGMENTATION WITH NON-STATIONARY TISSUE CLASS DISTRIBUTIONS IN AN EXPECTATION-MAXIMIZATION FRAMEWORK

High quality segmentation of brain MR images is a challenging task. To deal with this problem many automatic segmentation methods rely on atlas information of anatomical structures. We further investigate this line of research by introducing hierarchical representations of anatomical structures in a...

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Библиографические подробности
Опубликовано в: :Proc IEEE Int Symp Biomed Imaging
Главные авторы: Pohl, Kilian M., Bouix, Sylvain, Kikinis, Ron, Grimson, W. Eric L.
Формат: Artigo
Язык:Inglês
Опубликовано: 2005
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC5459362/
https://ncbi.nlm.nih.gov/pubmed/28593029
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2004.1398479
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