Cover Image
QR Code

A novel Gateaux derivatives with efficient DCNN-Resunet method for segmenting multi-class brain tumor.

Published in:Medical & Biological Engineering & Computing Vol. 61; no. 8; pp. 2115 - 2139
Main Authors: Murmu, Anita, Kumar, Piyush
Format: Journal Article
Published: Springer Nature Aug2023
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=164818236&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 164818236
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01400118
        PO0
      jtl: Medical & Biological Engineering & Computing
      issn: 01400118
      maglogo: N
    pubinfo:
      dt: Aug2023
      vid: 61
      iid: 8
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        164818236
        164411311
        10.1007/s11517-023-02824-z
        164818236
      ppf: 2115
      ppct: 24
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: A novel Gateaux derivatives with efficient DCNN-Resunet method for segmenting multi-class brain tumor.
      aug:
        au:
          Murmu, Anita
          Kumar, Piyush
        affil: Computer Science and Engineering, National Institute of Technology Patna, Ashok Rajpath, 800005, Patna, Bihar, India
      sug:
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N