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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5091868/
https://www.ncbi.nlm.nih.gov/pubmed/27806121
http://dx.doi.org/10.1371/journal.pone.0165302

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5091868/
https://www.ncbi.nlm.nih.gov/pubmed/27806121
http://dx.doi.org/10.1371/journal.pone.0165302

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