Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology

BACKGROUND: Radiomics can quantify tumor phenotypic characteristics non-invasively by applying feature algorithms to medical imaging data. In this study of lung cancer patients, we investigated the association between radiomic features and the tumor histologic subtypes (adenocarcinoma and squamous c...

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Detalles Bibliográficos
Autores principales: Wu, Weimiao, Parmar, Chintan, Grossmann, Patrick, Quackenbush, John, Lambin, Philippe, Bussink, Johan, Mak, Raymond, Aerts, Hugo J. W. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4811956/
https://www.ncbi.nlm.nih.gov/pubmed/27064691
http://dx.doi.org/10.3389/fonc.2016.00071

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4811956/
https://www.ncbi.nlm.nih.gov/pubmed/27064691
http://dx.doi.org/10.3389/fonc.2016.00071

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