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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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Détails bibliographiques
Publié dans:Proc IEEE Int Symp Biomed Imaging
Auteurs principaux: Pohl, Kilian M., Bouix, Sylvain, Kikinis, Ron, Grimson, W. Eric L.
Format: Artigo
Langue:Inglês
Publié: 2005
Sujets:
Accès en ligne: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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