Novel multistage model enhances OCT GA segmentation: Researchers introduce a dual-branch network to improve accuracy and efficiency.

Bibliographic Details
Published in:Ophthalmology Times Vol. 50; no. 2; pp. 13 - 14
Main Author: Xiaoming Liu
Format: Journal Article
Published: MJH Life Sciences Mar/Apr2025
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184442310&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 184442310
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        0193032X
        OTI
      jtl: Ophthalmology Times
      issn: 0193032X
      maglogo: N
    pubinfo:
      dt: Mar/Apr2025
      vid: 50
      iid: 2
      pid: 54670
      pub: MJH Life Sciences
      place: Cranbury, New Jersey
    artinfo:
      ui:
        184442310
        184442310
      ppf: 13
      ppct: 1
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Novel multistage model enhances OCT GA segmentation: Researchers introduce a dual-branch network to improve accuracy and efficiency.
      aug:
        au: Xiaoming Liu
        affil: Wuhan University of Science and Technology, Wuhan, China
      sug:
        subj:
          Macular Degeneration Diagnosis
          Tomography, Optical Coherence Methods
          Macular Degeneration Pathology
          Image Processing, Computer Assisted
          Convolutional Neural Networks
          Retinal Diseases Diagnosis
          Retinal Diseases Pathology
          Algorithms
      pubtype: Trade Publication
      doctype: Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N