Cargando…
Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Autores principales: | Aerts, Hugo J.W.L., Velazquez, Emmanuel Rios, Leijenaar, Ralph T.H., Parmar, Chintan, Grossmann, Patrick, Carvalho, Sara, Bussink, Johan, Monshouwer, René, Haibe-Kains, Benjamin, Rietveld, Derek, Hoebers, Frank, Rietbergen, Michelle M., Leemans, C. René, Dekker, Andre, Quackenbush, John, Gillies, Robert J., Lambin, Philippe |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5784306/ http://dx.doi.org/10.1038/ncomms5644 |
Ejemplares similares
-
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
por: Aerts, Hugo J. W. L., et al.
Publicado: (2014) -
Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer
por: Parmar, Chintan, et al.
Publicado: (2015) -
Defining the biological basis of radiomic phenotypes in lung cancer
por: Grossmann, Patrick, et al.
Publicado: (2017) -
Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer
por: Parmar, Chintan, et al.
Publicado: (2015) -
Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology
por: Wu, Weimiao, et al.
Publicado: (2016)