PET image segmentation using a Gaussian mixture model and Markov random fields

BACKGROUND: Classification algorithms for positron emission tomography (PET) images support computational treatment planning in radiotherapy. Common clinical practice is based on manual delineation and fixed or iterative threshold methods, the latter of which requires regression curves dependent on...

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Detalhes bibliográficos
Publicado no:EJNMMI Phys
Main Authors: Layer, Thomas, Blaickner, Matthias, Knäusl, Barbara, Georg, Dietmar, Neuwirth, Johannes, Baum, Richard P, Schuchardt, Christiane, Wiessalla, Stefan, Matz, Gerald
Formato: Artigo
Idioma:Inglês
Publicado em: Springer International Publishing 2015
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4545759/
https://ncbi.nlm.nih.gov/pubmed/26501811
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40658-015-0110-7
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