{"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}
引用次数: 0
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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
