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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4649540/
https://www.ncbi.nlm.nih.gov/pubmed/26576732
http://dx.doi.org/10.1038/srep16822

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4649540/
https://www.ncbi.nlm.nih.gov/pubmed/26576732
http://dx.doi.org/10.1038/srep16822

Ejemplares similares