Glioblastoma Surgery Imaging–Reporting and Data System: Validation and Performance of the Automated Segmentation Task

SIMPLE SUMMARY: Neurosurgical decisions for patients with glioblastoma depend on visual inspection of a preoperative MR scan to determine the tumor characteristics. To avoid subjective estimates and manual tumor delineation, automatic methods and standard reporting are necessary. We compared and ext...

Descripción completa

Detalles Bibliográficos
Autores principales: Bouget, David, Eijgelaar, Roelant S., Pedersen, André, Kommers, Ivar, Ardon, Hilko, Barkhof, Frederik, Bello, Lorenzo, Berger, Mitchel S., Nibali, Marco Conti, Furtner, Julia, Fyllingen, Even Hovig, Hervey-Jumper, Shawn, Idema, Albert J. S., Kiesel, Barbara, Kloet, Alfred, Mandonnet, Emmanuel, Müller, Domenique M. J., Robe, Pierre A., Rossi, Marco, Sagberg, Lisa M., Sciortino, Tommaso, Van den Brink, Wimar A., Wagemakers, Michiel, Widhalm, Georg, Witte, Marnix G., Zwinderman, Aeilko H., Reinertsen, Ingerid, De Witt Hamer, Philip C., Solheim, Ole
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465753/
https://www.ncbi.nlm.nih.gov/pubmed/34572900
http://dx.doi.org/10.3390/cancers13184674

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465753/
https://www.ncbi.nlm.nih.gov/pubmed/34572900
http://dx.doi.org/10.3390/cancers13184674

Ejemplares similares