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...

Descripción completa

Detalles Bibliográficos
Autores principales: Patel, Harsh, Vock, David M., Marai, G. Elisabeta, Fuller, Clifton D., Mohamed, Abdallah S. R., Canahuate, Guadalupe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263609/
https://www.ncbi.nlm.nih.gov/pubmed/34234160
http://dx.doi.org/10.1038/s41598-021-92072-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263609/
https://www.ncbi.nlm.nih.gov/pubmed/34234160
http://dx.doi.org/10.1038/s41598-021-92072-8

Ejemplares similares