Decision support in the system of polarization imaging diagnostics of histological sections by analysis of their anisotropy parameters

Authors

  • N.I. Zabolotna Вінницький національний технічний університет
  • O.V. Bisikalo Вінницький національний технічний університет
  • V.V. Sholota Вінницький національний технічний університет

DOI:

https://doi.org/10.31649/1681-7893-2020-40-2-29-40

Keywords:

histological section, biological tissue, diagnostics, polarizing imaging polarimetry system, fuzzy logic, decision support

Abstract

The method and subsystem of decision support according to the principles of fuzzy logic for the system of polarization imaging diagnostics of histological sections are developed.

Informative signs of diagnostics on the basis of statistical and correlation analysis of orientation and phase images of sections of biological tissues are determined. Mathematical models of the membership functions of the states "norm" and "pathology" of the studied histological sections for the decisive rule in the system are proposed.

Author Biographies

N.I. Zabolotna, Вінницький національний технічний університет

д.т.н., завідувач кафедри лазерної та оптикоелектронної техніки

O.V. Bisikalo, Вінницький національний технічний університет

д.т.н., професор, декан факультету комп’ютерних систем та автоматики

V.V. Sholota, Вінницький національний технічний університет

магістрант факультету комп’ютерних систем та автоматики

References

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Published

2021-09-01

How to Cite

[1]
N. Zabolotna, O. Bisikalo, and V. Sholota, “Decision support in the system of polarization imaging diagnostics of histological sections by analysis of their anisotropy parameters”, Опт-ел. інф-енерг. техн., vol. 40, no. 2, pp. 30–41, Sep. 2021.

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Section

Biomedical Optical And Electronic Systems And Devices

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