Correction to: Nature Medicine https://doi.org/10.1038/s41591-019-0447-x, published online 20 May 2019.
In the version of this article originally published, there was an error in the phrase “This dataset contained 1,739 cases (27 cancer-positives)” in the main text. The number 1,739 should have been 1,139. There was also an error in the Fig. 4c legend. In the phrase “comprising n = 1,739 cases”, the number 1,739 again should have been 1,139. Additionally, in the Extended Data Fig. 5 legend, the phrase “AUC curve for the independent data test set with n = 1,739 cases” contained the same error. The number should have been 1,139 instead of 1,739. The errors have been corrected in the HTML and PDF versions of this article.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Ardila, D., Kiraly, A.P., Bharadwaj, S. et al. Author Correction: End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography. Nat Med 25, 1319 (2019). https://doi.org/10.1038/s41591-019-0536-x
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41591-019-0536-x
This article is cited by
-
Multi-Modal Feature Fusion-Based Multi-Branch Classification Network for Pulmonary Nodule Malignancy Suspiciousness Diagnosis
Journal of Digital Imaging (2022)
-
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence
Nature Machine Intelligence (2021)
