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Correction: Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort.更正：用于胸部X线片上可参考的胸部异常的深度学习算法的性能：一项健康筛查队列的多中心研究。
PLoS One. 2021 Apr 28;16(4):e0251045. doi: 10.1371/journal.pone.0251045. eCollection 2021.
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Correction: ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans.更正：人工智能辅助冠状病毒诊断：用于胸部CT扫描中COVID-19诊断的放射科医生辅助深度学习框架。
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引用本文的文献

1
Machine Learning Augmented Interpretation of Chest X-rays: A Systematic Review.机器学习辅助的胸部X光解读：一项系统综述
Diagnostics (Basel). 2023 Feb 15;13(4):743. doi: 10.3390/diagnostics13040743.

本文引用的文献

1
Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort.深度学习算法在胸部 X 线片上对可转诊的胸部异常的性能：一项健康筛查队列的多中心研究。
PLoS One. 2021 Feb 19;16(2):e0246472. doi: 10.1371/journal.pone.0246472. eCollection 2021.

更正：用于胸部X线片上可参考的胸部异常的深度学习算法的性能：一项健康筛查队列的多中心研究。

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

作者信息

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

出版信息

PLoS One. 2021 Apr 28;16(4):e0251045. doi: 10.1371/journal.pone.0251045. eCollection 2021.

DOI:10.1371/journal.pone.0251045
PMID:33909705
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8081184/
Abstract

[This corrects the article DOI: 10.1371/journal.pone.0246472.].

摘要

[本文更正了文章的数字对象标识符：10.1371/journal.pone.0246472。]