Author Correction: End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography (Nature Medicine, (2019), 25, 6, (954-961), 10.1038/s41591-019-0447-x)

Diego Ardila, Atilla P. Kiraly, Sujeeth Bharadwaj, Bokyung Choi, Joshua J. Reicher, Lily Peng, Daniel Tse*, Mozziyar Etemadi, Wenxing Ye, Greg Corrado, David P. Naidich, Shravya Shetty

*Corresponding author for this work

Research output: Contribution to journalComment/debatepeer-review

16 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1319
Number of pages1
JournalNature Medicine
Volume25
Issue number8
DOIs
StatePublished - Aug 1 2019

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Fingerprint

Dive into the research topics of 'Author Correction: End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography (Nature Medicine, (2019), 25, 6, (954-961), 10.1038/s41591-019-0447-x)'. Together they form a unique fingerprint.

Cite this