Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features

Reproducible definition and quantification of imaging biomarkers is essential. We evaluated a fully automatic MR-based segmentation method by comparing it to manually defined sub-volumes by experienced radiologists in the TCGA-GBM dataset, in terms of sub-volume prognosis and association with VASARI...

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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Rios Velazquez, Emmanuel, Meier, Raphael, Dunn Jr, William D., Alexander, Brian, Wiest, Roland, Bauer, Stefan, Gutman, David A., Reyes, Mauricio, Aerts, Hugo J.W.L.
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group 2015
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4649540/
https://ncbi.nlm.nih.gov/pubmed/26576732
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep16822
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