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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Vydáno v:Cancer Imaging
Hlavní autoři: Suter, Yannick, Knecht, Urspeter, Alão, Mariana, Valenzuela, Waldo, Hewer, Ekkehard, Schucht, Philippe, Wiest, Roland, Reyes, Mauricio
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2020
Témata:
Research Article
On-line přístup: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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