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Amel'kina

Automated complex for determination of the hormonal status of breast cancer using a method of immunocytochemistry
Engineering Education # 12, December 2013
DOI: 10.7463/1213.0628098
The paper presents results of developing an automated complex for determination of the hormonal status of breast cancer using an immunocytochemistry method. The complex performs automated scanning of medication and image capturing by means of an automated computer-driven microscope, as well as automated image analysis which results in estimation of Allred’s scores; the developed complex is capable of visual verification and correction of analysis results if it is necessary. Experimental studies demonstrated high repeatable accuracy of automated analysis results and agreement of automatically drawn conclusions on the hormonal status of breast cancer with the ones obtained by cytologist during visual microscopic examination.
Automated method for image analysis of breast immunocytochemical preparations
Engineering Education # 02, February 2013
DOI: 10.7463/0213.0529424
This paper presents results of developing a segmentation method and algorithm for microscopic images of breast immunocytochemical smears; this method is the key stage in creating a system of smears’ automated analysis. The developed segmentation method was adapted to the currently used method of preparing immunocytochemical smears and provided an opportunity to work with microscopic images of smears with different color-luminance characteristics. The obtained results will allow to objectify quantitative assessment of immunocytochemical reactions and contribute to widespread usage of this type of analysis in clinical practice.
 
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