A Predictive Clinical-Radiomics Nomogram for Survival Prediction of Glioblastoma Using MRI
Glioblastoma (GBM) is the most common and aggressive primary brain tumor in adult patients with a median survival of around one year. Prediction of survival outcomes in GBM patients could represent a huge step in treatment personalization. The objective of this study was to develop machine learning...
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| Auteurs principaux: | , , , , , , , , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
MDPI AG
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/3428d18c49c14d4880c655f172cab863 |
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