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Open Access
Peer-reviewed
Research Article
A promising approach for screening pulmonary hypertension based on frontal chest radiographs using deep learning: A retrospective study
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Xiao-Ling Zou ,
Contributed equally to this work with: Xiao-Ling Zou, Yong Ren, Lan-Qing Han, Tian-Tuo Zhang
Roles Conceptualization, Data curation, Formal analysis, Investigation, Project administration, Validation, Writing – original draft
Affiliation Department of Pulmonary and Critical Care Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Institute of Respiratory Diseases of Sun Yat-sen University, Guangzhou, China
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Yong Ren ,
Contributed equally to this work with: Xiao-Ling Zou, Yong Ren, Lan-Qing Han, Tian-Tuo Zhang
Roles Formal analysis, Investigation, Methodology, Project administration, Software, Validation, Visualization, Writing – original draft
Affiliation Center for Artificial Intelligence in Medicine, Research Institute of Tsinghua, Pearl River Delta, Guangzhou, China
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Ding-Yun Feng,
Roles Data curation, Investigation, Project administration, Writing – original draft
Affiliation Department of Pulmonary and Critical Care Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Institute of Respiratory Diseases of Sun Yat-sen University, Guangzhou, China
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Xu-Qi He,
Roles Data curation, Validation
Affiliation Department of Medical Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
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Yue-Fei Guo,
Roles Data curation, Validation
Affiliation Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
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Hai-Ling Yang,
Roles Data curation
Affiliation Department of Pulmonary and Critical Care Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Institute of Respiratory Diseases of Sun Yat-sen University, Guangzhou, China
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Xian Li,
Roles Data curation
Affiliation Department of Pulmonary and Critical Care Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Yuedong Hospital, Meizhou, China
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Jia Fang,
Roles Data curation
Affiliation Department of Pumonary Diseases, Dongguan Tangxia Hospital, Dongguan, China
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Quan Li,
Roles Methodology, Software, Validation, Visualization
Affiliation Center for Artificial Intelligence in Medicine, Research Institute of Tsinghua, Pearl River Delta, Guangzhou, China
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Jun-Jie Ye,
Roles Methodology, Software, Validation, Visualization
Affiliation Center for Artificial Intelligence in Medicine, Research Institute of Tsinghua, Pearl River Delta, Guangzhou, China
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Lan-Qing Han ,
Contributed equally to this work with: Xiao-Ling Zou, Yong Ren, Lan-Qing Han, Tian-Tuo Zhang
Roles Investigation, Methodology, Software, Supervision, Visualization, Writing – review & editing
* E-mail: zhtituli@163.com (TTZ); hanlance@tsinghua-gd.org (LQH)
Affiliation Center for Artificial Intelligence in Medicine, Research Institute of Tsinghua, Pearl River Delta, Guangzhou, China
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Tian-Tuo Zhang
Contributed equally to this work with: Xiao-Ling Zou, Yong Ren, Lan-Qing Han, Tian-Tuo Zhang
Roles Investigation, Supervision, Writing – review & editing
* E-mail: zhtituli@163.com (TTZ); hanlance@tsinghua-gd.org (LQH)
Affiliation Department of Pulmonary and Critical Care Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Institute of Respiratory Diseases of Sun Yat-sen University, Guangzhou, China
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A promising approach for screening pulmonary hypertension based on frontal chest radiographs using deep learning: A retrospective study
- Xiao-Ling Zou,
- Yong Ren,
- Ding-Yun Feng,
- Xu-Qi He,
- Yue-Fei Guo,
- Hai-Ling Yang,
- Xian Li,
- Jia Fang,
- Quan Li,
- Jun-Jie Ye
- Published: July 24, 2020
- https://doi.org/10.1371/journal.pone.0236378