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Performance and reading time of lung nodule identification on multidetector CT with or without an artificial intelligence-powered computer-aided detection system.
Hsu, H-H; Ko, K-H; Chou, Y-C; Wu, Y-C; Chiu, S-H; Chang, C-K; Chang, W-C.
Afiliación
  • Hsu HH; Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan. Electronic address: hsianhe@yahoo.com.tw.
  • Ko KH; Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • Chou YC; School of Public Health, National Defense Medical Center, Taipei, Taiwan.
  • Wu YC; Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • Chiu SH; Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • Chang CK; Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • Chang WC; Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Clin Radiol ; 76(8): 626.e23-626.e32, 2021 08.
Article en En | MEDLINE | ID: mdl-34023068
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Interpretación de Imagen Radiográfica Asistida por Computador / Nódulos Pulmonares Múltiples / Tomografía Computarizada Multidetector / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Clin Radiol Año: 2021 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Interpretación de Imagen Radiográfica Asistida por Computador / Nódulos Pulmonares Múltiples / Tomografía Computarizada Multidetector / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Clin Radiol Año: 2021 Tipo del documento: Article