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.
The article is considering building of the method of prediction of indicators of biomedical images. There was considered structure of the system that have to solve the problem of processing parameters of biomedical images. There was considered the constructing of such system using a parallel-hierarchical network as well.
The paper considers the fundamentals of the design theory of stochastic diagnostic type observers that are invariant to unknown inputs. It presents a description of identification and malfunctions localization problem when the noise is present. The article provides theoretical substantiation of the decomposition procedure of optimal stochastic observers with indefinite inputs and noise. Optimality criterions of such observer are defined. The paper reveals invariance of a differential signal in relation to indefinite, uncontrollable perturbations. Optionally, in a case, when a differential signal has a Gaussian distribution, the procedure of decision making about fault availability is offered.