{"title":"多参数极化-二元分类生物层相位映射系统","authors":"N. Zabolotna, V. Sholota, V. Zagoruiko","doi":"10.31649/1681-7893-2021-42-2-44-52","DOIUrl":null,"url":null,"abstract":"The system of polarization mapping of biological layers has been improved due to the multi-parameter analysis of coordinate distributions of azimuths, ellipticities and phase shifts at the points of laser images of biological layers. On the basis of statistical and correlational analysis of measured maps of biological layers, informative signs of diagnosis were determined. Automatic binary classification of samples of biological layers with increased reliability was performed according to informative features.","PeriodicalId":142101,"journal":{"name":"Optoelectronic information-power technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"System of Multi-Parametric Polarization-Phase Mapping of Biological Layers with Binary Classification\",\"authors\":\"N. Zabolotna, V. Sholota, V. Zagoruiko\",\"doi\":\"10.31649/1681-7893-2021-42-2-44-52\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The system of polarization mapping of biological layers has been improved due to the multi-parameter analysis of coordinate distributions of azimuths, ellipticities and phase shifts at the points of laser images of biological layers. On the basis of statistical and correlational analysis of measured maps of biological layers, informative signs of diagnosis were determined. Automatic binary classification of samples of biological layers with increased reliability was performed according to informative features.\",\"PeriodicalId\":142101,\"journal\":{\"name\":\"Optoelectronic information-power technologies\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-26\",\"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/10.31649/1681-7893-2021-42-2-44-52\",\"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/10.31649/1681-7893-2021-42-2-44-52","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
System of Multi-Parametric Polarization-Phase Mapping of Biological Layers with Binary Classification
The system of polarization mapping of biological layers has been improved due to the multi-parameter analysis of coordinate distributions of azimuths, ellipticities and phase shifts at the points of laser images of biological layers. On the basis of statistical and correlational analysis of measured maps of biological layers, informative signs of diagnosis were determined. Automatic binary classification of samples of biological layers with increased reliability was performed according to informative features.
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