Exploring the limit of image resolution for human expert classification of vascular ultrasound images in giant cell arteritis and healthy subjects: the GCA-US-AI project.

Detalles Bibliográficos
Publicado en:Annals of the Rheumatic Diseases Vol. 84; no. 9; pp. 1528 - 1538
Autores principales: Bauer, Claus-Juergen, Chrysidis, Stavros, Dejaco, Christian, Koster, Matthew J., Kohler, Minna J., Monti, Sara, Schmidt, Wolfgang A., Mukhtyar, Chetan B., Karakostas, Pantelis, Milchert, Marcin, Ponte, Cristina, Duftner, Christina, de Miguel, Eugenio, Hocevar, Alojzija, Iagnocco, Annamaria, Terslev, Lene, Døhn, Uffe Møller, Nielsen, Berit Dalsgaard, Juche, Aaron, Seitz, Luca
Formato: Journal Article
Publicado: Elsevier B.V. Sep2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2025
      vid: 84
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      pub: Elsevier B.V.
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        atl: Exploring the limit of image resolution for human expert classification of vascular ultrasound images in giant cell arteritis and healthy subjects: the GCA-US-AI project.
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        au:
          Bauer, Claus-Juergen
          Chrysidis, Stavros
          Dejaco, Christian
          Koster, Matthew J.
          Kohler, Minna J.
          Monti, Sara
          Schmidt, Wolfgang A.
          Mukhtyar, Chetan B.
          Karakostas, Pantelis
          Milchert, Marcin
          Ponte, Cristina
          Duftner, Christina
          de Miguel, Eugenio
          Hocevar, Alojzija
          Iagnocco, Annamaria
          Terslev, Lene
          Døhn, Uffe Møller
          Nielsen, Berit Dalsgaard
          Juche, Aaron
          Seitz, Luca
        affil: Clinic of Internal Medicine III - Rheumatology, University Hospital Bonn, Bonn, Germany
      sug:
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
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    language: English
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