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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Detalles Bibliográficos
Publicado en:Radiat Oncol
Autores principales: 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
Lenguaje:Inglês
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea: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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