Neural network algorithm for detection of erosions and ankylosis on CT of the sacroiliac joints: multicentre development and validation of diagnostic accuracy.

Detalles Bibliográficos
Publicado en:European Radiology Vol. 33; no. 11; pp. 8310 - 8324
Autores principales: Van Den Berghe, Thomas, Babin, Danilo, Chen, Min, Callens, Martijn, Brack, Denim, Maes, Helena, Lievens, Jan, Lammens, Marie, Van Sumere, Maxime, Morbée, Lieve, Hautekeete, Simon, Schatteman, Stijn, Jacobs, Tom, Thooft, Willem-Jan, Herregods, Nele, Huysse, Wouter, Jaremko, Jacob L., Lambert, Robert, Maksymowych, Walter, Laloo, Frederiek
Formato: Journal Article
Publicado: Springer Nature Nov2023
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Neural network algorithm for detection of erosions and ankylosis on CT of the sacroiliac joints: multicentre development and validation of diagnostic accuracy.
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          Van Den Berghe, Thomas
          Babin, Danilo
          Chen, Min
          Callens, Martijn
          Brack, Denim
          Maes, Helena
          Lievens, Jan
          Lammens, Marie
          Van Sumere, Maxime
          Morbée, Lieve
          Hautekeete, Simon
          Schatteman, Stijn
          Jacobs, Tom
          Thooft, Willem-Jan
          Herregods, Nele
          Huysse, Wouter
          Jaremko, Jacob L.
          Lambert, Robert
          Maksymowych, Walter
          Laloo, Frederiek
        affil: https://ror.org/00xmkp704 Department of Radiology and Medical Imaging, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
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      pubtype: Academic Journal
      doctype: Journal Article
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    language: English
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