Your browser doesn't support javascript.
loading
Correction to: Diagnostic validation of a deep learning nodule detection algorithm in low-dose chest CT: determination of optimized dose thresholds in a virtual screening scenario.
Peters, Alan A; Huber, Adrian T; Obmann, Verena C; Heverhagen, Johannes T; Christe, Andreas; Ebner, Lukas.
Afiliação
  • Peters AA; Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Bern University Hospital, University of Bern, 3010, Inselspital Bern, Switzerland. alan.peters@insel.ch.
  • Huber AT; Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Bern University Hospital, University of Bern, 3010, Inselspital Bern, Switzerland.
  • Obmann VC; Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Bern University Hospital, University of Bern, 3010, Inselspital Bern, Switzerland.
  • Heverhagen JT; Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Bern University Hospital, University of Bern, 3010, Inselspital Bern, Switzerland.
  • Christe A; Department of BioMedical Research, Experimental Radiology, University of Bern, 3008, Bern, Switzerland.
  • Ebner L; Department of Radiology, The Ohio State University, Columbus, OH, USA.
Eur Radiol ; 33(5): 3785-3787, 2023 May.
Article em En | MEDLINE | ID: mdl-36752861

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Suíça País de publicação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Suíça País de publicação: Alemanha