Classification of ANA HEp-2 slide images using morphological features of stained patterns

Gennady V. Ponomarev, Marat D. Kazanov

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

Correct diagnostics of autoimmune disorders is important for a treatment planning as many of such diseases demonstrate similar symptoms. Owing to ANA HEp-2 medical test it is possible to distinguish among such autoimmune disease as lupus erythematosus, scleroderma and Sjogren's syndrome. It is known that manual disease classification performing based on analysis of indirect immunofluorescent images obtained in the course of this test is error-prone. Here, we present an automatic method for classification of ANA HEp-2 images that performs separation of the individual cell on pre-segmented slide images and subsequent cell and slide image classification. The method uses morphological properties of the stained patterns located inside the cell nucleus for an individual cell classification and a voting scheme for a classification of the whole ANA HEp-2 slide image.

Original languageEnglish
Pages (from-to)79-84
Number of pages6
JournalPattern Recognition Letters
Volume82
DOIs
Publication statusPublished - 15 Oct 2016
Externally publishedYes

Keywords

  • ANA HEp-2 image
  • biomedical imaging
  • indirect immunofluorescence
  • pattern classification

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