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Performance and Agreement When Annotating Chest X-ray Text Reports-A Preliminary Step in the Development of a Deep Learning-Based Prioritization and Detection System.
Li, Dana; Pehrson, Lea Marie; Bonnevie, Rasmus; Fraccaro, Marco; Thrane, Jakob; Tøttrup, Lea; Lauridsen, Carsten Ammitzbøl; Butt Balaganeshan, Sedrah; Jankovic, Jelena; Andersen, Tobias Thostrup; Mayar, Alyas; Hansen, Kristoffer Lindskov; Carlsen, Jonathan Frederik; Darkner, Sune; Nielsen, Michael Bachmann.
Afiliación
  • Li D; Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark.
  • Pehrson LM; Department of Clinical Medicine, University of Copenhagen, 2100 Copenhagen, Denmark.
  • Bonnevie R; Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark.
  • Fraccaro M; Department of Computer Science, University of Copenhagen, 2100 Copenhagen, Denmark.
  • Thrane J; Unumed Aps, 1055 Copenhagen, Denmark.
  • Tøttrup L; Unumed Aps, 1055 Copenhagen, Denmark.
  • Lauridsen CA; Unumed Aps, 1055 Copenhagen, Denmark.
  • Butt Balaganeshan S; Unumed Aps, 1055 Copenhagen, Denmark.
  • Jankovic J; Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark.
  • Andersen TT; Radiography Education, University College Copenhagen, 2200 Copenhagen, Denmark.
  • Mayar A; Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2100 Copenhagen, Denmark.
  • Hansen KL; Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark.
  • Carlsen JF; Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark.
  • Darkner S; Department of Health Sciences, Panum Institute, University of Copenhagen, 2100 Copenhagen, Denmark.
  • Nielsen MB; Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark.
Diagnostics (Basel) ; 13(6)2023 Mar 11.
Article en En | MEDLINE | ID: mdl-36980376
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Dinamarca Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Dinamarca Pais de publicación: Suiza