Abstract
Two techniques of the image analysis of Papanicolaou stains are compared in this paper—standard deviation and standard deviation ratio for cell nuclei. The image analysis is based on diagonal details obtained from multiresolutional analysis using wavelets. Two best wavelets are presented ‘coif2’ and ‘sym1.’ Results show the importance of standard deviation ratios and smallest diagonal details for classification of cell together with cell nucleus area. Classification of cells allows rapid discrimination of cells for further analysis of them by cytoscreener.
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Oszutowska-Mazurek, D., Mazurek, P., Sycz, K., Waker-Wójciuk, G. (2016). Wavelet Analysis of Cell Nuclei from the Papanicolaou Smears Using Standard Deviation Ratios. In: Burduk, R., Jackowski, K., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds) Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. Advances in Intelligent Systems and Computing, vol 403. Springer, Cham. https://doi.org/10.1007/978-3-319-26227-7_54
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DOI: https://doi.org/10.1007/978-3-319-26227-7_54
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