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Prognostic models based on imaging findings in glioblastoma: Human versus Machine
Many studies have built machine-learning (ML)-based prognostic models for glioblastoma (GBM) based on radiological features. We wished to compare the predictive performance of these methods to human knowledge-based approaches. 404 GBM patients were included (311 discovery and 93 validation). 16 morp...
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| Veröffentlicht in: | Sci Rep |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group UK
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6461644/ https://ncbi.nlm.nih.gov/pubmed/30979965 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-42326-3 |
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