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Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program.
Cui, Xiaonan; Zheng, Sunyi; Heuvelmans, Marjolein A; Du, Yihui; Sidorenkov, Grigory; Fan, Shuxuan; Li, Yanju; Xie, Yongsheng; Zhu, Zhongyuan; Dorrius, Monique D; Zhao, Yingru; Veldhuis, Raymond N J; de Bock, Geertruida H; Oudkerk, Matthijs; van Ooijen, Peter M A; Vliegenthart, Rozemarijn; Ye, Zhaoxiang.
Afiliação
  • Cui X; Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Centre of Cancer, Key Laboratory of Cancer Prevention and Therapy, Department of Radiology, Tianjin, People's Republic of China; University of Groningen, University Medical Center Groningen, Department of Radiology,
  • Zheng S; Westlake University, Artificial Intelligence and Biomedical Image Analysis Lab, School of Engineering, Hangzhou, People's Republic of China; Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou, People's Republic of China; University of Groningen, University Medical Cent
  • Heuvelmans MA; University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands.
  • Du Y; University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands.
  • Sidorenkov G; University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands.
  • Fan S; Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Centre of Cancer, Key Laboratory of Cancer Prevention and Therapy, Department of Radiology, Tianjin, People's Republic of China.
  • Li Y; Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Centre of Cancer, Key Laboratory of Cancer Prevention and Therapy, Department of Radiology, Tianjin, People's Republic of China.
  • Xie Y; Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Centre of Cancer, Key Laboratory of Cancer Prevention and Therapy, Department of Radiology, Tianjin, People's Republic of China.
  • Zhu Z; Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Centre of Cancer, Key Laboratory of Cancer Prevention and Therapy, Department of Radiology, Tianjin, People's Republic of China.
  • Dorrius MD; University of Groningen, University Medical Center Groningen, Department of Radiology, Groningen, the Netherlands.
  • Zhao Y; Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Centre of Cancer, Key Laboratory of Cancer Prevention and Therapy, Department of Radiology, Tianjin, People's Republic of China.
  • Veldhuis RNJ; University of Twente, Faculty of Electrical Engineering Mathematics and Computer Science, the Netherlands.
  • de Bock GH; University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands.
  • Oudkerk M; University of Groningen, Faculty of Medical Sciences, the Netherlands.
  • van Ooijen PMA; University of Groningen, University Medical Center Groningen, Department of Radiation Oncology, Groningen, the Netherlands; University of Groningen, University Medical Center Groningen, Machine Learning Lab, Data Science Center in Health, Groningen, the Netherlands.
  • Vliegenthart R; University of Groningen, University Medical Center Groningen, Department of Radiology, Groningen, the Netherlands.
  • Ye Z; Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Centre of Cancer, Key Laboratory of Cancer Prevention and Therapy, Department of Radiology, Tianjin, People's Republic of China. Electronic address: zye@tmu.edu.cn.
Eur J Radiol ; 146: 110068, 2022 Jan.
Article em En | MEDLINE | ID: mdl-34871936
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Nódulo Pulmonar Solitário / Aprendizado Profundo / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Eur J Radiol Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Nódulo Pulmonar Solitário / Aprendizado Profundo / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Eur J Radiol Ano de publicação: 2022 Tipo de documento: Article