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Correction to: Detection and staging of chronic obstructive pulmonary disease using a computed tomography-based weakly supervised deep learning approach.
Sun, Jiaxing; Liao, Ximing; Yan, Yusheng; Zhang, Xin; Sun, Jian; Tan, Weixiong; Liu, Baiyun; Wu, Jiangfen; Guo, Qian; Gao, Shaoyong; Li, Zhang; Wang, Kun; Li, Qiang.
Afiliação
  • Sun J; Department of Pulmonary and Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, No. 150 Jimo Road, Pudong, Shanghai, China.
  • Liao X; Department of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Yan Y; Department of Pulmonary and Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, No. 150 Jimo Road, Pudong, Shanghai, China.
  • Zhang X; Department of Pulmonary and Critical Care Medicine, Changsha First Hospital, Changsha, China.
  • Sun J; Department of Pulmonary and Critical Care Medicine, People's Liberation Army Joint Logistic Support Force 920th Hospital, Kunming, Yunnan, China.
  • Tan W; Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital, Jinan, China.
  • Liu B; Infervision, Beijing, China.
  • Wu J; Infervision, Beijing, China.
  • Guo Q; Infervision, Beijing, China.
  • Gao S; Department of Pulmonary and Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, No. 150 Jimo Road, Pudong, Shanghai, China.
  • Li Z; Department of Pulmonary and Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, No. 150 Jimo Road, Pudong, Shanghai, China.
  • Wang K; College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, China.
  • Li Q; Department of Pulmonary and Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, No. 150 Jimo Road, Pudong, Shanghai, China. Dr_Wangk@tongji.edu.cn.
Eur Radiol ; 32(8): 5785, 2022 Aug.
Article em En | MEDLINE | ID: mdl-35320414
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Eur Radiol Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Eur Radiol Ano de publicação: 2022 Tipo de documento: Article