Computer-Aided Nodule Assessment and Risk Yield (CANARY) may facilitate non-invasive prediction of EGFR mutation status in lung adenocarcinomas

Computer-Aided Nodule Assessment and Risk Yield (CANARY) is quantitative imaging analysis software that predicts the histopathological classification and post-treatment disease-free survival of patients with adenocarcinoma of the lung. CANARY characterizes nodules by the distribution of nine color-c...

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Detalles Bibliográficos
Autores principales: Clay, Ryan, Kipp, Benjamin R., Jenkins, Sarah, Karwoski, Ron A., Maldonado, Fabien, Rajagopalan, Srinivasan, Voss, Jesse S., Bartholmai, Brian J., Aubry, Marie Christine, Peikert, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732170/
https://www.ncbi.nlm.nih.gov/pubmed/29247171
http://dx.doi.org/10.1038/s41598-017-17659-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732170/
https://www.ncbi.nlm.nih.gov/pubmed/29247171
http://dx.doi.org/10.1038/s41598-017-17659-6

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