Correction: Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort

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Home Correction: Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort

Eun Young Kim, Young Jae Kim, Won-Jun Choi, Gi Pyo Lee, Ye Ra Choi, Kwang Nam Jin, Young Jun Cho

https://doi.org/10.1371/journal.pone.0251045, Volume: 16, Issue: 4, Pages: 1-1

Article Type: Correction Article History

Publisher: Public Library of Science

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Kim,Kim,Choi,Lee,Choi,Jin,and Cho: Correction: Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort

There are errors in the Competing Interests statement. The correct Competing Interests statement is as follows: KNJ has received research grant funding from Lunit Inc. for activities not related to the present article. This does not alter our adherence to PLOS ONE policies on sharing data and materials. Other authors have no potential conflicts of interest to disclose.

Reference

EYKim, YJKim, JChoi W-, GPLee, YRChoi, KNJin, et al. (2021) Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort. PLoS ONE 16(2): e0246472. 10.1371/journal.pone.0246472