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Automatic image analysis algorithm for quantitative assessment of breast cancer estrogen receptor status in immunocytochemistry

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Abstract

The paper presents an algorithm for quantification the degree of receptor expression to steroid hormones by automatic analysis of microscope images of immunocytochemical specimens. During experiments a high correlation between the results of the automatic analysis and visual expert assessment was shown and the possibility to apply the proposed algorithm to automate immunocytochemical analysis was confirmed.

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Authors and Affiliations

  1. Chair for Biomedical Technical Systems, Faculty of Biomedical Technique, Bauman Moscow State Technical University, Moscow, Russia

    D. A. Dobrolyubova, T. A. Kravtsova, O. A. Samorodova & A. V. Samorodov

  2. Department of Oncomorphology, Herzen Moscow Oncology Research Institute, Moscow, Russia

    E. N. Slavnova & N. N. Volchenko

Authors
  1. D. A. Dobrolyubova
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  2. T. A. Kravtsova
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  3. O. A. Samorodova
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  4. A. V. Samorodov
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  5. E. N. Slavnova
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  6. N. N. Volchenko
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Corresponding author

Correspondence to D. A. Dobrolyubova.

Additional information

This paper uses the materials of the report submitted at the 9th Open German-Russian Workshop on Pattern Recognition and Image Understanding, held in Koblenz, December 1–5, 2014 (OGRW-9-2014).

The article is published in the original.

Dar’ya Aleksandrovna Dobrolyubova. Born 1990, graduated from Bauman Moscow State Technical University in 2013. Engineer-researcher, Educational and Scientific Center of Medical Technology, Bauman Moscow State Technical University. Fields of research priorities: automated microscopy of biomedical specimens, algorithmic support and software of digital pathology, methods and techniques for biomedical images processing and analysis. Author of more than 10 scientific publications (including 4 journal papers).

Tat’yana Andreevna Kravtsova. Born 1992. Graduated from Bauman Moscow State Technical University in 2015. Postgraduate student, Chair for Biomedical Technical Systems, Bauman Moscow State Technical University. Fields of research priorities: methods and algorithms of image processing and pattern recognition, methods and techniques of color measurements, transformation and correction, automated microscopy of biomedical preparations.

Ol’ga Aleksandrovna Samorodova. Born 1986. Graduated from Bauman Moscow State Technical University in 2009. Received candidate (PhD) degree in engineering sciences at Bauman Moscow State Technical University in 2013. Associate professor, Chair for Biomedical Technical Systems, Bauman Moscow State Technical University. Fields of research priorities: automated microscopy of biomedical preparations, biomedical image processing and analysis, biomedical statistics, computer-aided decision-making systems in medicine. Author of 60 scientific publications, including 13 journal papers.

Andrei Vladimorovich Samorodov. Born 1975. Graduated from Bauman Moscow State Technical University in 1999. Received candidate (PhD) degree in engineering sciences at Bauman Moscow State Technical University in 2002. Head of the Chair for Biomedical Technical Systems, Bauman Moscow State Technical University. Fields of research priorities: methods and algorithms of pattern recognition and multiclassification, automated microscopy of biomedical preparations, computer-aided decisionmaking systems in medicine, methods and technique for biomedical images and signals recognition. Author of more than 200 scientific publications (including 1 collective monograph and more than 30 journal papers).

Elena Nikolaevna Slavnova. Born 1960. Graduated from 2nd Pirogov Moscow State Medical Institute in 1985. Received candidate (PhD) degree in medical sciences at Herzen Moscow Oncology Research Institute in 1990. Senior researcher of the Department of Oncomorphology, Herzen Moscow Oncology Research Institute. Fields of research priorities: methods, systems and technologies of cytological cancer diagnostics and prognostication. Author of more than 200 scientific publications.

Nadezhda Nikolaevna Volchenko. Born 1949. Graduated from 2nd Pirogov Moscow State Medical Institute in 1974. Received candidate (PhD) degree in medical sciences in 1982. Received doctoral degree in medical sciences in 1999. The Head of the Department of Oncomorphology, Herzen Moscow Oncology Research Institute. Fields of research priorities: methods, systems and technologies of cytological cancer diagnostics and prognostication. Author of more than 200 scientific publications.

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Dobrolyubova, D.A., Kravtsova, T.A., Samorodova, O.A. et al. Automatic image analysis algorithm for quantitative assessment of breast cancer estrogen receptor status in immunocytochemistry. Pattern Recognit. Image Anal. 26, 552–557 (2016). https://doi.org/10.1134/S1054661816030032

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  • DOI: https://doi.org/10.1134/S1054661816030032

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