Generalizability, robustness, and correction bias of segmentations of thoracic organs at risk in CT images.

Detalles Bibliográficos
Publicado en:European Radiology Vol. 35; no. 7; pp. 4335 - 4347
Autores principales: Guérendel, Corentin, Petrychenko, Liliana, Chupetlovska, Kalina, Bodalal, Zuhir, Beets-Tan, Regina G. H., Benson, Sean
Formato: Journal Article
Publicado: Springer Nature Jul2025
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=185942217&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 185942217
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        09387994
        NPH
      jtl: European Radiology
      issn: 09387994
      maglogo: N
    pubinfo:
      dt: Jul2025
      vid: 35
      iid: 7
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        185942217
        10.1007/s00330-024-11321-2
        185942217
      ppf: 4335
      ppct: 12
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Generalizability, robustness, and correction bias of segmentations of thoracic organs at risk in CT images.
      aug:
        au:
          Guérendel, Corentin
          Petrychenko, Liliana
          Chupetlovska, Kalina
          Bodalal, Zuhir
          Beets-Tan, Regina G. H.
          Benson, Sean
        affil: https://ror.org/03xqtf034 Department of Radiology, Antoni van Leeuwenhoek—The Netherlands Cancer Institute, Amsterdam, The Netherlands
      sug:
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N