Abstract
The paper presents the algorithm of an automatic evaluation of the fluorescent in situ hybridization (FISH) images in order to determine HER2 status of the breast cancer samples. The algorithm is based on the accurate measurement of the red/green spot ratio (the ratio of HER2/CEN17) per cell nucleus. The main points of this algorithm is an accurate detection of the nuclei of cells and application of the color map to detect the red and green spots localized in these cells. The results of the numerical experiments concerning these two problems, as well as the assessment of the positivity or negativity of the considered cases are presented and discussed in the paper. They confirm the high efficiency of the proposed solution. © 2014 Springer International Publishing.
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Les, T., Markiewicz, T., Osowski, S., Cichowicz, M., & Kozlowski, W. (2014). Automatic evaluation system of FISH images in breast cancer. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8509 LNCS, pp. 332–339). Springer Verlag. https://doi.org/10.1007/978-3-319-07998-1_38
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