Fully automated brain resection cavity delineation for radiation target volume definition in glioblastoma patients using deep learning

BACKGROUND: Automated brain tumor segmentation methods are computational algorithms that yield tumor delineation from, in this case, multimodal magnetic resonance imaging (MRI). We present an automated segmentation method and its results for resection cavity (RC) in glioblastoma multiforme (GBM) pat...

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Detalhes bibliográficos
Publicado no:Radiat Oncol
Main Authors: Ermiş, Ekin, Jungo, Alain, Poel, Robert, Blatti-Moreno, Marcela, Meier, Raphael, Knecht, Urspeter, Aebersold, Daniel M., Fix, Michael K., Manser, Peter, Reyes, Mauricio, Herrmann, Evelyn
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2020
Assuntos:
Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7204033/
https://ncbi.nlm.nih.gov/pubmed/32375839
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13014-020-01553-z
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