{"title":"生物组织穆勒矩阵激光偏振诊断方法及决策支持子系统","authors":"N. Zabolotna, V. Sholota","doi":"10.31649/1681-7893-2022-43-1-43-52","DOIUrl":null,"url":null,"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.","PeriodicalId":142101,"journal":{"name":"Optoelectronic information-power technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Method and Decision Support Subsystem for Mueller-Matrix Laser Polarization Diagnosis of Biological Tissues\",\"authors\":\"N. Zabolotna, V. Sholota\",\"doi\":\"10.31649/1681-7893-2022-43-1-43-52\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":142101,\"journal\":{\"name\":\"Optoelectronic information-power technologies\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optoelectronic information-power technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31649/1681-7893-2022-43-1-43-52\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optoelectronic information-power technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31649/1681-7893-2022-43-1-43-52","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Method and Decision Support Subsystem for Mueller-Matrix Laser Polarization Diagnosis of Biological Tissues
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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