Блок класифікації ознак для системи фазової поляриметричної діагностики біологічних шарів

Abstract

The abstracts describe a software classifier for automated data processing of phased Muller matrix tomograms of biological layers. The proposed system uses machine learning algorithms to analyze data, which allows for effective classification. The classifier was tested on representative samples with known pathological and normal biological layers, and as a result of using the classifier, the reliability of pathology diagnostics was increased.