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

doi:10.1038/s41591-019-0536-x

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

Anesthesiology

Research output: Contribution to journal › Comment/debate › peer-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 language	English (US)
Pages (from-to)	1319
Number of pages	1
Journal	Nature Medicine
Volume	25
Issue number	8
DOIs	https://doi.org/10.1038/s41591-019-0536-x
State	Published - Aug 1 2019

ASJC Scopus subject areas

Biochemistry, Genetics and Molecular Biology(all)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1038/s41591-019-0536-x

Cite this

Ardila, D., Kiraly, A. P., Bharadwaj, S., Choi, B., Reicher, J. J., Peng, L., Tse, D., Etemadi, M., Ye, W., Corrado, G., Naidich, D. P., & Shetty, S. (2019). 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). Nature Medicine, 25(8), 1319. https://doi.org/10.1038/s41591-019-0536-x

@article{cd7555a76a804efdbddcc7e783093cd1,

title = "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)",

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.",

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

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature America, Inc.",

year = "2019",

month = aug,

day = "1",

doi = "10.1038/s41591-019-0536-x",

language = "English (US)",

volume = "25",

pages = "1319",

journal = "Nature Medicine",

issn = "1078-8956",

publisher = "Nature Publishing Group",

number = "8",

}

Ardila, D, Kiraly, AP, Bharadwaj, S, Choi, B, Reicher, JJ, Peng, L, Tse, D, Etemadi, M, Ye, W, Corrado, G, Naidich, DP & Shetty, S 2019, '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)', Nature Medicine, vol. 25, no. 8, pp. 1319. https://doi.org/10.1038/s41591-019-0536-x

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). / Ardila, Diego; Kiraly, Atilla P.; Bharadwaj, Sujeeth et al.

In: Nature Medicine, Vol. 25, No. 8, 01.08.2019, p. 1319.

Research output: Contribution to journal › Comment/debate › peer-review

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.

UR - http://www.scopus.com/inward/record.url?scp=85068310169&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85068310169&partnerID=8YFLogxK

U2 - 10.1038/s41591-019-0536-x

DO - 10.1038/s41591-019-0536-x

M3 - Comment/debate

C2 - 31253948

AN - SCOPUS:85068310169

SN - 1078-8956

VL - 25

SP - 1319

JO - Nature Medicine

JF - Nature Medicine

IS - 8

ER -

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)

Abstract

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this