OCCMNet: Occlusion-Aware Class Characteristic Mining Network for multi-class artifacts detection in endoscopy.

Bibliographic Details
Published in:Medical & Biological Engineering & Computing Vol. 63; no. 8; pp. 2407 - 2423
Main Authors: Xu, Chenchu, Chen, Yu, Liu, Jie, Wang, Boyan, Zhang, Yanping, Chen, Jie, Zhao, Shu
Format: Journal Article
Published: Springer Nature Aug2025
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187120537&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 187120537
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01400118
        PO0
      jtl: Medical & Biological Engineering & Computing
      issn: 01400118
      maglogo: N
    pubinfo:
      dt: Aug2025
      vid: 63
      iid: 8
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        187120537
        183452433
        10.1007/s11517-025-03332-y
        187120537
      ppf: 2407
      ppct: 16
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: OCCMNet: Occlusion-Aware Class Characteristic Mining Network for multi-class artifacts detection in endoscopy.
      aug:
        au:
          Xu, Chenchu
          Chen, Yu
          Liu, Jie
          Wang, Boyan
          Zhang, Yanping
          Chen, Jie
          Zhao, Shu
        affil: https://ror.org/05th6yx34 Department of Computer Science and Technology, Anhui University, 111 Jiulong Road, 230601, Hefei, Anhui, China
      sug:
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N