Fully Automated Enhanced Tumor Compartmentalization: Man vs. Machine Reloaded

OBJECTIVE: Comparison of a fully-automated segmentation method that uses compartmental volume information to a semi-automatic user-guided and FDA-approved segmentation technique. METHODS: Nineteen patients with a recently diagnosed and histologically confirmed glioblastoma (GBM) were included and MR...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Porz, Nicole, Habegger, Simon, Meier, Raphael, Verma, Rajeev, Jilch, Astrid, Fichtner, Jens, Knecht, Urspeter, Radina, Christian, Schucht, Philippe, Beck, Jürgen, Raabe, Andreas, Slotboom, Johannes, Reyes, Mauricio, Wiest, Roland
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2016
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Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5091868/
https://ncbi.nlm.nih.gov/pubmed/27806121
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0165302
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