Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics.

Detalles Bibliográficos
Publicado en:European Radiology Vol. 31; no. 7; pp. 4576 - 4587
Autores principales: Mao, Bing, Ma, Jingdong, Duan, Shaobo, Xia, Yuwei, Tao, Yaru, Zhang, Lianzhong
Formato: Journal Article
Publicado: Springer Nature Jul2021
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=150974488&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 150974488
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        09387994
        NPH
      jtl: European Radiology
      issn: 09387994
      maglogo: N
    pubinfo:
      dt: Jul2021
      vid: 31
      iid: 7
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        150974488
        148093371
        10.1007/s00330-020-07562-6
        150974488
      ppf: 4576
      ppct: 11
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics.
      aug:
        au:
          Mao, Bing
          Ma, Jingdong
          Duan, Shaobo
          Xia, Yuwei
          Tao, Yaru
          Zhang, Lianzhong
        affil: Henan Provincial People's Hospital, Zhengzhou, Henan, China
      sug:
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N