Multifractal-based nuclei segmentation in fish images.

The method for nuclei segmentation in fluorescence in-situ hybridization (FISH) images, based on the inverse multifractal analysis (IMFA) is proposed. From the blue channel of the FISH image in RGB format, the matrix of Holder exponents, with one-by-one correspondence with the image pixels, is deter...

Descripción completa

Detalles Bibliográficos
Publicado en:Biomedical Microdevices Vol. 19; no. 3; pp. 1 - 14
Autores principales: Reljin, Nikola, Slavkovic-Ilic, Marijeta, Tapia, Coya, Cihoric, Nikola, Stankovic, Srdjan
Formato: Journal Article
Publicado: Springer Nature Sep2017
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=127516869&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 127516869
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        13872176
        ODN
      jtl: Biomedical Microdevices
      issn: 13872176
      maglogo: N
    pubinfo:
      dt: Sep2017
      vid: 19
      iid: 3
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        127516869
        10.1007/s10544-017-0208-x
        127516869
      ppf: 1
      ppct: 13
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Multifractal-based nuclei segmentation in fish images.
      aug:
        au:
          Reljin, Nikola
          Slavkovic-Ilic, Marijeta
          Tapia, Coya
          Cihoric, Nikola
          Stankovic, Srdjan
        affil: Academic Technology Services, Princeton University, Princeton, NJ, USA.
      sug:
      ab: The method for nuclei segmentation in fluorescence in-situ hybridization (FISH) images, based on the inverse multifractal analysis (IMFA) is proposed. From the blue channel of the FISH image in RGB format, the matrix of Holder exponents, with one-by-one correspondence with the image pixels, is determined first. The following semiautomatic procedure is proposed: initial nuclei segmentation is performed automatically from the matrix of Holder exponents by applying predefined hard thresholding; then the user evaluates the result and is able to refine the segmentation by changing the threshold, if necessary. After successful nuclei segmentation, the HER2 (human epidermal growth factor receptor 2) scoring can be determined in usual way: by counting red and green dots within segmented nuclei, and finding their ratio. The IMFA segmentation method is tested over 100 clinical cases, evaluated by skilled pathologist. Testing results show that the new method has advantages compared to already reported methods.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N