{"title":"医学图像中活细胞的提取与跟踪","authors":"O. Nedzvedz, S. Ablameyko, Seiichi Uchida","doi":"10.1109/DT.2016.7557173","DOIUrl":null,"url":null,"abstract":"One of the important problems of cytological image analysis is the cell segmentation. Today the most perspective direction of cytological image analysis is living cells investigation. Such images lead to many troubles for cell analysis. In this paper, we propose a solution of one such problems: pattern extraction of living cells from its aggregation and measurement of their 3D characteristics.","PeriodicalId":281446,"journal":{"name":"2016 International Conference on Information and Digital Technologies (IDT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Extraction and tracking living cells in medical images\",\"authors\":\"O. Nedzvedz, S. Ablameyko, Seiichi Uchida\",\"doi\":\"10.1109/DT.2016.7557173\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the important problems of cytological image analysis is the cell segmentation. Today the most perspective direction of cytological image analysis is living cells investigation. Such images lead to many troubles for cell analysis. In this paper, we propose a solution of one such problems: pattern extraction of living cells from its aggregation and measurement of their 3D characteristics.\",\"PeriodicalId\":281446,\"journal\":{\"name\":\"2016 International Conference on Information and Digital Technologies (IDT)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Information and Digital Technologies (IDT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DT.2016.7557173\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Information and Digital Technologies (IDT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DT.2016.7557173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Extraction and tracking living cells in medical images
One of the important problems of cytological image analysis is the cell segmentation. Today the most perspective direction of cytological image analysis is living cells investigation. Such images lead to many troubles for cell analysis. In this paper, we propose a solution of one such problems: pattern extraction of living cells from its aggregation and measurement of their 3D characteristics.
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