Method and Decision Support Subsystem for Mueller-Matrix Laser Polarization Diagnosis of Biological Tissues

N. Zabolotna, V. Sholota
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Abstract

A method and decision support subsystem based on the principles of fuzzy logic for Mueller-matrix polarization diagnostics of biological tissues have been developed. On the basis of statistical, correlation and spectral analysis of invariant Muller-matrix images of biological tissues and their superpositions, informative signs of diagnosis are determined. Mathematical models of functions belonging to the "normal" and "pathology" states of the studied samples for the decisive rule in the system have been developed.
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生物组织穆勒矩阵激光偏振诊断方法及决策支持子系统
提出了一种基于模糊逻辑原理的生物组织穆勒矩阵极化诊断方法和决策支持子系统。在统计、相关和光谱分析的基础上不变的穆勒矩阵图像的生物组织和他们的叠加,确定信息的诊断标志。研究了系统中决定性规则的“正常”和“病理”状态下的函数的数学模型。
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