{"title":"跟踪早幼粒细胞白血病核体用于疾病检测:通过过滤的概念验证","authors":"J. Hailes, M. Kouritzin, R. Marsh, J. McCrosky","doi":"10.1109/ICMENS.2004.147","DOIUrl":null,"url":null,"abstract":"Nonlinear filtering has proven to be a valuable tool in many applications ranging from search and rescue to performing arts. Herein we discuss an application of filtering to medical imaging. A sample problem in detecting, tracking, and characterizing the movement of promyelocytic leukemia nuclear bodies within a cell nucleus is used to demonstrate the utility of nonlinear filtering in this area. Simulation results are presented and discussed.","PeriodicalId":344661,"journal":{"name":"2004 International Conference on MEMS, NANO and Smart Systems (ICMENS'04)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tracking Promyelocytic Leukemia Nuclear Bodies for Disease Detection: A Proof of Concept via Filtering\",\"authors\":\"J. Hailes, M. Kouritzin, R. Marsh, J. McCrosky\",\"doi\":\"10.1109/ICMENS.2004.147\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nonlinear filtering has proven to be a valuable tool in many applications ranging from search and rescue to performing arts. Herein we discuss an application of filtering to medical imaging. A sample problem in detecting, tracking, and characterizing the movement of promyelocytic leukemia nuclear bodies within a cell nucleus is used to demonstrate the utility of nonlinear filtering in this area. Simulation results are presented and discussed.\",\"PeriodicalId\":344661,\"journal\":{\"name\":\"2004 International Conference on MEMS, NANO and Smart Systems (ICMENS'04)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2004 International Conference on MEMS, NANO and Smart Systems (ICMENS'04)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMENS.2004.147\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 International Conference on MEMS, NANO and Smart Systems (ICMENS'04)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMENS.2004.147","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tracking Promyelocytic Leukemia Nuclear Bodies for Disease Detection: A Proof of Concept via Filtering
Nonlinear filtering has proven to be a valuable tool in many applications ranging from search and rescue to performing arts. Herein we discuss an application of filtering to medical imaging. A sample problem in detecting, tracking, and characterizing the movement of promyelocytic leukemia nuclear bodies within a cell nucleus is used to demonstrate the utility of nonlinear filtering in this area. Simulation results are presented and discussed.