Abdominal vessel segmentation using vessel model embedded fuzzy C-means and similarity from CT angiography.

Bibliographic Details
Published in:Medical & Biological Engineering & Computing Vol. 60; no. 11; pp. 3325 - 3341
Main Authors: Ma, Shuang, Feng, Chaolu, Yang, Jinzhu, Sun, Qi, Yuan, Yuliang, Huang, Yan, Tan, Wenjun
Format: Journal Article
Published: Springer Nature Nov2022
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=159531212&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 159531212
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01400118
        PO0
      jtl: Medical & Biological Engineering & Computing
      issn: 01400118
      maglogo: N
    pubinfo:
      dt: Nov2022
      vid: 60
      iid: 11
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        159531212
        159378818
        10.1007/s11517-022-02644-7
        159531212
      ppf: 3325
      ppct: 16
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Abdominal vessel segmentation using vessel model embedded fuzzy C-means and similarity from CT angiography.
      aug:
        au:
          Ma, Shuang
          Feng, Chaolu
          Yang, Jinzhu
          Sun, Qi
          Yuan, Yuliang
          Huang, Yan
          Tan, Wenjun
        affil: Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, Liaoning, China
      sug:
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N