Radiomics for glioblastoma survival analysis in pre-operative MRI: exploring feature robustness, class boundaries, and machine learning techniques

BACKGROUND: This study aims to identify robust radiomic features for Magnetic Resonance Imaging (MRI), assess feature selection and machine learning methods for overall survival classification of Glioblastoma multiforme patients, and to robustify models trained on single-center data when applied to...

Descripción completa

Detalles Bibliográficos
Autores principales: Suter, Yannick, Knecht, Urspeter, Alão, Mariana, Valenzuela, Waldo, Hewer, Ekkehard, Schucht, Philippe, Wiest, Roland, Reyes, Mauricio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7405445/
https://www.ncbi.nlm.nih.gov/pubmed/32758279
http://dx.doi.org/10.1186/s40644-020-00329-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7405445/
https://www.ncbi.nlm.nih.gov/pubmed/32758279
http://dx.doi.org/10.1186/s40644-020-00329-8

Ejemplares similares