Кафедра судової медицини, медичного правознавства імені заслуженого професора М.С. Бокаріуса
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Browsing Кафедра судової медицини, медичного правознавства імені заслуженого професора М.С. Бокаріуса by Subject "analysis"
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Item Analysis of color properties of raster images of histological microspecimens: own research experience(2022) Ivanova, Mariia; Myroshnychenko, Mykhailo; Khara, Georgy; Arseniev, Oleksandr; Olkhovsky, Vasil; Grygorian, Edgar; Fedulenkova, Yuliya; Kozlov, SergiiThis study is aimed to develop a computer program to analyze the color propertiesof raster images of histological microspecimens used in pathological anatomy and forensic medicine. When developing a computer program, we used the system for building client applications – Windows Presentation Foundation (WPF). The system allows you to create applications with visually attractive user interaction capabil ties. The programming language is C#, as well as basic graphics capabilities of the .NET Framework system are used. To speed up the display we applied double buffering. In the course of the research, the authors developed a modern computer program «Analysis of color properties of raster images». This program allows you to analyze the color of each individual pixel of a photograph in RGB and Lab color models, comparing the colors and brightness of individual pixels, selecting groups of points and determining statistical characteristics of them. Characteristic points are well distinguishable in the photographs, studied with the program «Analysis of color properties of raster images». This makes it possible to select and automate these properties, using computer recognition algorithms, completely removing human factor’s influence on the analysis results. The computer program «Analysis of color properties of raster images» is of significant scientific and practical interest for specialists both in the field of morphology (pathologists, forensic experts, etc.), and in the field of other biomedical disciplines.Item Postmortem Interval Assessment Criteria : A Retrospective Study(2020) Olkhovsky, Vasil; Kliuiev, Oleksandr; Grygorian, Edgar; Gubin, Mykola; Simakova-Yefremian, Ella; Khosha, VadymIntroduction, Materials and Methods : In this study, an analysis of forensic medical reports was conducted in order to define new criteria for postmortem interval (PMI) assessment, to improve the accuracy of its determination by forensic medical experts. In the study, 2972 forensic medical examinations of corpses were analyzed. The location of the corpse, Degree of fatness, Body length, Age and Histological changes of some internal organs were observed. Dynamometry method was used for Postmortem Interval (PMI) estimation. The results were calculated using Spearman rank correlation coefficient. Results : There was a significant moderate correlation of histological changes of some internal organs; weak correlation of corpse location, degree of fatness, body length; and significant very weak correlation of age (p <0.05).