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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Sci Rep
Hauptverfasser: 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.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Publishing Group 2015
Schlagworte:
Article
Online Zugang: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
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge