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...

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Detalhes bibliográficos
Publicado no:Cancer Imaging
Main Authors: Suter, Yannick, Knecht, Urspeter, Alão, Mariana, Valenzuela, Waldo, Hewer, Ekkehard, Schucht, Philippe, Wiest, Roland, Reyes, Mauricio
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2020
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7405445/
https://ncbi.nlm.nih.gov/pubmed/32758279
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40644-020-00329-8
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