Automatic segmentation of layers in chorio-retinal complex using Graph-based method for ultra-speed 1.7 MHz wide field swept source FDML optical coherence tomography.

Detalles Bibliográficos
Publicado en:Medical & Biological Engineering & Computing Vol. 62; no. 5; pp. 1375 - 1394
Autores principales: Poddar, Raju, Shukla, Vinita, Alam, Zoya, Mohan, Muktesh
Formato: Journal Article
Publicado: Springer Nature May2024
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=176627147&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 176627147
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01400118
        PO0
      jtl: Medical & Biological Engineering & Computing
      issn: 01400118
      maglogo: N
    pubinfo:
      dt: May2024
      vid: 62
      iid: 5
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        176627147
        174656793
        10.1007/s11517-023-03007-6
        176627147
      ppf: 1375
      ppct: 19
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Automatic segmentation of layers in chorio-retinal complex using Graph-based method for ultra-speed 1.7 MHz wide field swept source FDML optical coherence tomography.
      aug:
        au:
          Poddar, Raju
          Shukla, Vinita
          Alam, Zoya
          Mohan, Muktesh
        affil: https://ror.org/028vtqb15 Biophotonics Lab, Department of Bioengineering & Biotechnology, Birla Institute of Technology-Mesra, 835 215, Ranchi, JH, India
      sug:
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N