Deep learning automatically distinguishes myocarditis patients from normal subjects based on MRI.

Detalles Bibliográficos
Publicado en:International Journal of Cardiovascular Imaging Vol. 40; no. 12; pp. 2617 - 2630
Autores principales: Hatfaludi, Cosmin-Andrei, Roșca, Aurelian, Popescu, Andreea Bianca, Chitiboi, Teodora, Sharma, Puneet, Benedek, Theodora, Itu, Lucian Mihai
Formato: Journal Article
Publicado: Springer Nature Dec2024
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=181465057&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 181465057
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        15695794
        1HHY
      jtl: International Journal of Cardiovascular Imaging
      issn: 15695794
      maglogo: N
    pubinfo:
      dt: Dec2024
      vid: 40
      iid: 12
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        181465057
        180714921
        10.1007/s10554-024-03284-8
        181465057
      ppf: 2617
      ppct: 13
      formats:
      tig:
        atl: Deep learning automatically distinguishes myocarditis patients from normal subjects based on MRI.
      aug:
        au:
          Hatfaludi, Cosmin-Andrei
          Roșca, Aurelian
          Popescu, Andreea Bianca
          Chitiboi, Teodora
          Sharma, Puneet
          Benedek, Theodora
          Itu, Lucian Mihai
        affil: Advanta, Siemens SRL, 15 Noiembrie Bvd, 500097, Brasov, Romania
      sug:
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N