{"title":"生物医学图像分析的分形研究和空间尺度金字塔","authors":"A. Nedzved, A. Belotserkovsky, P. Lukashevich","doi":"10.1109/DT.2014.6868722","DOIUrl":null,"url":null,"abstract":"In this paper method of biological tissue image analysis is proposed. This method is based on scale properties of biological objects. Different characteristics of tissue are calculated on levels of scale image pyramid and allow defining more complete description for diagnostics or monitoring of disease.","PeriodicalId":330975,"journal":{"name":"The 10th International Conference on Digital Technologies 2014","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fractal study and space-scaled pyramids for biomedical image analysis\",\"authors\":\"A. Nedzved, A. Belotserkovsky, P. Lukashevich\",\"doi\":\"10.1109/DT.2014.6868722\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper method of biological tissue image analysis is proposed. This method is based on scale properties of biological objects. Different characteristics of tissue are calculated on levels of scale image pyramid and allow defining more complete description for diagnostics or monitoring of disease.\",\"PeriodicalId\":330975,\"journal\":{\"name\":\"The 10th International Conference on Digital Technologies 2014\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 10th International Conference on Digital Technologies 2014\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DT.2014.6868722\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 10th International Conference on Digital Technologies 2014","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DT.2014.6868722","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fractal study and space-scaled pyramids for biomedical image analysis
In this paper method of biological tissue image analysis is proposed. This method is based on scale properties of biological objects. Different characteristics of tissue are calculated on levels of scale image pyramid and allow defining more complete description for diagnostics or monitoring of disease.
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