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...

Full description

Saved in:
Bibliographic Details
Published in:Sci Rep
Main Authors: 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
Format: Artigo
Language:Inglês
Published: Nature Publishing Group UK 2017
Subjects:
Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC5732170/
https://ncbi.nlm.nih.gov/pubmed/29247171
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-17659-6
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items