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Overall Survival Prediction in Glioblastoma With Radiomic Features Using Machine Learning
Glioblastoma is a WHO grade IV brain tumor, which leads to poor overall survival (OS) of patients. For precise surgical and treatment planning, OS prediction of glioblastoma (GBM) patients is highly desired by clinicians and oncologists. Radiomic research attempts at predicting disease prognosis, th...
Gespeichert in:
| Veröffentlicht in: | Front Comput Neurosci |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Frontiers Media S.A.
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7417437/ https://ncbi.nlm.nih.gov/pubmed/32848682 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2020.00061 |
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