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

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

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

Bibliographic Details
Main Authors:	Eun Young Kim, Young Jae Kim, Won-Jun Choi, Gi Pyo Lee, Ye Ra Choi, Kwang Nam Jin, Young Jun Cho
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2021-01-01
Series:	PLoS ONE
Online Access:	https://doi.org/10.1371/journal.pone.0251045

Similar Items

Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort.
by: Eun Young Kim, et al.
Published: (2021-01-01)

Clinical significance of abnormal chest radiographic findings for acute kidney injury in patients with scrub typhus
by: Hyun Ju Yang, et al.
Published: (2020-03-01)

Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study.
by: Se Bum Jang, et al.
Published: (2020-01-01)

Missed Lung Cancers on Chest Radiograph: An Illustrative Review of Common Blind Spots on Chest Radiograph with Emphasis on Various Radiologic Presentations of Lung Cancers
by: Goun Choi, et al.
Published: (2020-03-01)

Thoracic Scoliosis Screening in Adolescent Patients with Chest Radiographs
by: Murat Şakir Ekşi, et al.
Published: (2019-03-01)

Interstitial pneumonia pattern on day 7 chest radiograph predicts bronchopulmonary dysplasia in preterm infants
by: Hye-Rim Kim, et al.
Published: (2017-05-01)

A young woman with a left thoracic pain and normal chest radiograph
by: Vitorino Modesto dos Santos, et al.
Published: (2015-10-01)

Correlation between chest radiographic findings and clinical features in hospitalized children with Mycoplasma pneumoniae pneumonia.
by: Yeon Jin Cho, et al.
Published: (2019-01-01)

Clinical predictors of chest radiographic abnormalities in young children hospitalized with bronchiolitis: a single center study
by: Ga Ram Kim, et al.
Published: (2016-12-01)

Robust and Reproducible Quantification of the Extent of Chest Radiographic Abnormalities (And It's Free!).
by: Ana Requena-Méndez, et al.
Published: (2015-01-01)

Correlation of microbiological yield with radiographic activity on chest computed tomography in cases of suspected pulmonary tuberculosis.
by: Yousang Ko, et al.
Published: (2018-01-01)

Traumatic ventricular septal defect in a 4-year-old boy after blunt chest injury
by: Yun Mi Kim, et al.
Published: (2011-02-01)

Abnormal central line position on a chest radiograph: Clue to an uncommon anomaly
by: Pooja Abbey, et al.
Published: (2016-01-01)

Abnormal Chest Radiograph Due to a Common Lung Finding in Down Syndrome
by: Devi A. Manuel, et al.
Published: (2016-01-01)

Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensembles
by: Sivaramakrishnan Rajaraman, et al.
Published: (2020-03-01)

Chest Radiographic Findings in Acute Paraquat Poisoning
by: Gyeong Gyun Na, et al.
Published: (2016-01-01)

Value of Chest Radiographic Pattern in RSV Disease of the Newborn: A Multicenter Retrospective Cohort Study
by: Américo Gonçalves, et al.
Published: (2012-01-01)

Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph
by: Po-Chih Kuo, et al.
Published: (2021-02-01)

Chest radiograph abnormalities in patients hospitalized with leptospirosis in the city of Salvador, Bahia, Brazil
by: Matos Eliana Dias, et al.
Published: (2001-01-01)

Chest radiograph abnormalities in patients hospitalized with leptospirosis in the city of Salvador, Bahia, Brazil
by: Eliana Dias Matos, et al.

Automated abnormality classification of chest radiographs using deep convolutional neural networks
by: Yu-Xing Tang, et al.
Published: (2020-05-01)

Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph
by: Kuo, Po-Chih, et al.
Published: (2021)

The Role of Transnasal Esophagoscopy in ENT Office: A Prospective, Multicenter Study in Korea
by: Eun-Jae Chung, et al.
Published: (2014-06-01)

Classification of cardioembolic stroke based on a deep neural network using chest radiographs
by: Han-Gil Jeong, et al.
Published: (2021-07-01)

A Phantom Opacity on Chest Radiograph
by: Diana Pinho dos Santos, et al.
Published: (2020-07-01)

Clinical Validation of a Deep Learning Algorithm for Detection of Pneumonia on Chest Radiographs in Emergency Department Patients with Acute Febrile Respiratory Illness
by: Jae Hyun Kim, et al.
Published: (2020-06-01)

Detection of Breast Abnormalities on Enhanced Chest CT: Correlation with Breast Composition on Mammography
by: Eun Mi Cho, et al.
Published: (2017-02-01)

Incidence of intravascular insertion in thoracic epidural catheterization by using real time fluoroscopy
by: Sae Young Kim, et al.
Published: (2012-03-01)

Video-Assisted Thoracic Surgery Segmentectomy
by: Ha Eun Kim, et al.
Published: (2021-08-01)

Thoracic abnormal air collections in patients in the intensive care unit: radiograph findings correlated with CT
by: Masafumi Sakai, et al.
Published: (2020-03-01)

The post pneumonectomy chest radiograph
by: Mark de Groot
Published: (1996-03-01)

Chest radiograph of an asymptomatic man
by: Eleftheria Chaini, et al.
Published: (2016-09-01)

Clinical outcomes of transjugular intrahepatic portosystemic shunt for portal hypertension: Korean multicenter real-practice data
by: Hyung Ki Kim, et al.
Published: (2014-03-01)

Multiple calcific opacities on a chest radiograph
by: Pravin Dumne, et al.
Published: (2019-01-01)

Emphysematous Cholecystitis Discovered on a Chest Radiograph
by: Patrick Ndja, et al.
Published: (2016-06-01)

The “tennis racket” sign on a chest radiograph
by: Rajendra Takhar, et al.
Published: (2016-03-01)

Association between Image Characteristics on Chest CT and Severe Pleural Adhesion during Lung Cancer Surgery.
by: Kwang Nam Jin, et al.
Published: (2016-01-01)

Impact of Dose Tapering of Tumor Necrosis Factor Inhibitor on Radiographic Progression in Ankylosing Spondylitis.
by: Jun Won Park, et al.
Published: (2016-01-01)

Multicenter, Randomized, Placebo-controlled Trial to Evaluate the Efficacy and Safety of a Controlled-release, Once-daily UIC201609/UIC201610 Combination Therapy for Functional Dyspepsia: Preliminary Study
by: Jung Won Lee, et al.
Published: (2021-04-01)

Undifferentiated Pleomorphic Sarcoma of the Thoracic Aorta Presenting with Ruptured Saccular Aneurysm: A Case Report
by: Do Woo Kim, et al.
Published: (2020-09-01)