This article illustrates the method and system of polarization mapping of two-dimensional length distributions of individual Mueller-matrix images of biological layers, which are azimuthally independent with respect to the direction of their laser irradiation. The intellectual analysis of the named distributions involves the determination of their informative features as statistical and correlation moments of the 1st to 4th order, according to which their further classification is implemented on the basis of binomial logistic regression. The improved system with expanded functionality allowed to obtain an assessment of the reliability of the diagnosis of the pathology of the cervix at the level of 90% to 97.8%.
This paper presents an improved method and system for Mueller matrix polarization diagnostics of optically thin biological films, in which azimuthally independent components of Mueller matrix images (MMIs) of biological samples and invariant superpositions of other MMIs are analyzed. Multiparametric analysis of these invariant MMIs and invariant superpositions of MMIs involves calculating their statistical, correlation and spectral moments of 1st - 4th order, which form informative parameters for making diagnosis decisions in the system. New fuzzy logic models of decision rules for making diagnostic decisions in the system in the study of cervical biological sections were developed. The developed system allows to increase the diagnostic reliability of biological layers up to 98%.
The method of mapping the ellipticity of the polarization image of blood plasma films and the analysis of the statistical moments of the obtained distributions underlies the evaluation of the mammary gland condition is considered in the article. Indicators of sensitivity and specificity of this method were evaluated and graphs of ROC curves for control group, malignant group and benign group were constructed.
Methods and automated systems of direct and Mueller-matrix reproduction of optical anisotropy parameters (orientation of the fast axis and optical phase shift) of two-layer optically thin biological structures are represented. The pathological condition objective assessment is based on the multi-parameter analysis of statistical characteristics (estimates of starting moments of the first order and estimates of the central moments of the second to fourth orders) determined for the coordinate, autocorrelation distributions and logarithmic dependences of the power spectra of the distributions of reproducible anisotropy parameters biological layers. The accuracy of the suggested methods of polarized phase reproduction and analysis of the biological layers structure within the range of 83.7% to 95.3% is estimated.
The Jones matrix mapping of blood plasma films was considered in this paper. The statistical analysis (statistical moments of the 1st - 4th orders) of the obtained elements was carried out. To increase the accuracy and reliability of the diagnosis, the number of informative indicators was increased due to the correlation analysis. which increased the number of inputs to 8. The differentiation of nosologies was based on the rules of fuzzy logic.
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