{"title":"疱疹病毒感染图像中神经细胞的提取。","authors":"A Nedzved, S Ablameyko, E Oczeretko","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>In this paper, algorithms for extracting and diagnosis of nerve cells with herpetic infections are proposed. Degree of herpetic lesions is divided into four classes. Morphological characteristic of herpetic lesions for cell is accomplished by analyze cells structure. Because virus of herpes change shape of nucleus. Therefore automated analysis of herpetic lesion carry out by morphology segmentation and cells structure identification. The algorithms have been successfully used in practical systems and showed good results.</p>","PeriodicalId":79372,"journal":{"name":"Roczniki Akademii Medycznej w Bialymstoku (1995)","volume":"50 ","pages":"284-8"},"PeriodicalIF":0.0000,"publicationDate":"2005-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Extraction of nerve cells in images with herpetic infections.\",\"authors\":\"A Nedzved, S Ablameyko, E Oczeretko\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In this paper, algorithms for extracting and diagnosis of nerve cells with herpetic infections are proposed. Degree of herpetic lesions is divided into four classes. Morphological characteristic of herpetic lesions for cell is accomplished by analyze cells structure. Because virus of herpes change shape of nucleus. Therefore automated analysis of herpetic lesion carry out by morphology segmentation and cells structure identification. The algorithms have been successfully used in practical systems and showed good results.</p>\",\"PeriodicalId\":79372,\"journal\":{\"name\":\"Roczniki Akademii Medycznej w Bialymstoku (1995)\",\"volume\":\"50 \",\"pages\":\"284-8\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Roczniki Akademii Medycznej w Bialymstoku (1995)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Roczniki Akademii Medycznej w Bialymstoku (1995)","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Extraction of nerve cells in images with herpetic infections.
In this paper, algorithms for extracting and diagnosis of nerve cells with herpetic infections are proposed. Degree of herpetic lesions is divided into four classes. Morphological characteristic of herpetic lesions for cell is accomplished by analyze cells structure. Because virus of herpes change shape of nucleus. Therefore automated analysis of herpetic lesion carry out by morphology segmentation and cells structure identification. The algorithms have been successfully used in practical systems and showed good results.
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