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An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens

  • Siyamalan Manivannan
  • , Wenqi Li
  • , Shazia Akbar
  • , Roy Wang
  • , Jianguo Zhang
  • , Stephen J. McKenna

    Research output: Contribution to journalArticlepeer-review

    Original languageEnglish
    Pages (from-to)12-26
    JournalPattern Recognition
    Volume51
    DOIs
    Publication statusPublished (in print/issue) - 1 Mar 2016

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Anti-nuclear antibody test
    • Cell classification
    • Subcellular fluorescence patterns
    • HEp-2 cells
    • Multi-resolution local patterns
    • Ensemble SVM

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