Automated Immunohistochemical Stains Analysis for Computer-Aided Diagnosis of Parathyroid Disease

  • Bartłomiej PłaczekEmail author
  • Marcin Lewandowski
  • Rafał Bułdak
  • Marek Michalski
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11127)


Parathyroid disease has a huge impact on overall health and quality of life. Immunohistochemistry (IHC) is a biological technique, which is useful in diagnosis and prognosis of the parathyroid disorders. The use of IHC as a diagnostic tool brings a substantial methodological problem related to evaluation of stain intensity in micrographs. This paper introduces an image processing approach for automatic IHC stain analysis in micrographs of parathyroid tissue. The introduced approach can be used for computer-aided diagnosis of parathyroid disease as well as for medical research studies in this field. The main novelty of this approach lays in the combination of color deconvolution procedure with a parathyroid cell nuclei localization algorithm, which is based on custom image filtering and circular objects recognition. Accuracy of the proposed approach was verified by comparison with results of experts’ evaluation in experiments conducted on micrographs of healthy tissue, adenomas, and hyperplasias with various IHC markers.


Image processing Immunohistochemistry Hyperparathyroidism Light microscopy 


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© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Bartłomiej Płaczek
    • 1
    Email author
  • Marcin Lewandowski
    • 1
  • Rafał Bułdak
    • 2
    • 3
  • Marek Michalski
    • 4
  1. 1.Institute of Computer ScienceUniversity of SilesiaSosnowiecPoland
  2. 2.Department of Physiology, School of Medicine with the Division of DentistryUniversity of SilesiaZabrzePoland
  3. 3.Department of Human Nutrition, School of Public HealthMedical University of SilesiaZabrzePoland
  4. 4.Department of Histology and Embryology, School of Medicine with the Division of DentistryMedical University of SilesiaZabrzePoland

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