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

D. A. Dobrolyubova; T. A. Kravtsova; O. A. Samorodova; A. V. Samorodov; E. N. Slavnova; N. N. Volchenko

doi:10.1134/S1054661816030032

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

Authors: Dobrolyubova D.A.¹, Kravtsova T.A.¹, Samorodova O.A.¹, Samorodov A.V.¹, Slavnova E.N.², Volchenko N.N.²
Affiliations:
1. Chair for Biomedical Technical Systems, Faculty of Biomedical Technique
2. Department of Oncomorphology
Issue: Vol 26, No 3 (2016)
Pages: 552-557
Section: Applied Problems
URL: https://bakhtiniada.ru/1054-6618/article/view/194814
DOI: https://doi.org/10.1134/S1054661816030032
ID: 194814

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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.