TY - JOUR
T1 - Author Correction
T2 - 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)
AU - Ardila, Diego
AU - Kiraly, Atilla P.
AU - Bharadwaj, Sujeeth
AU - Choi, Bokyung
AU - Reicher, Joshua J.
AU - Peng, Lily
AU - Tse, Daniel
AU - Etemadi, Mozziyar
AU - Ye, Wenxing
AU - Corrado, Greg
AU - Naidich, David P.
AU - Shetty, Shravya
PY - 2019/8/1
Y1 - 2019/8/1
N2 - 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.
AB - 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.
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U2 - 10.1038/s41591-019-0536-x
DO - 10.1038/s41591-019-0536-x
M3 - Comment/debate
C2 - 31253948
AN - SCOPUS:85068310169
VL - 25
JO - Nature Medicine
JF - Nature Medicine
SN - 1078-8956
IS - 8
ER -