Machine Learning methods for Quantitative Radiomic Biomarkers

Radiomics extracts and mines large number of medical imaging features quantifying tumor phenotypic characteristics. Highly accurate and reliable machine-learning approaches can drive the success of radiomic applications in clinical care. In this radiomic study, fourteen feature selection methods and...

Descripción completa

Detalles Bibliográficos
Autores principales: Parmar, Chintan, Grossmann, Patrick, Bussink, Johan, Lambin, Philippe, Aerts, Hugo J. W. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4538374/
https://www.ncbi.nlm.nih.gov/pubmed/26278466
http://dx.doi.org/10.1038/srep13087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4538374/
https://www.ncbi.nlm.nih.gov/pubmed/26278466
http://dx.doi.org/10.1038/srep13087

Ejemplares similares