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Oropharyngeal cancer patient stratification using random forest based-learning over high-dimensional radiomic features
To improve risk prediction for oropharyngeal cancer (OPC) patients using cluster analysis on the radiomic features extracted from pre-treatment Computed Tomography (CT) scans. 553 OPC Patients randomly split into training (80%) and validation (20%), were classified into 2 or 3 risk groups by applyin...
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| Publicado en: | Sci Rep |
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| Autores principales: | , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8263609/ https://ncbi.nlm.nih.gov/pubmed/34234160 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-92072-8 |
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