{"title":"神经网络在白细胞自动分类中的应用","authors":"Stanislav Mircic, Nikola Jorgovanovic","doi":"10.1109/NEUREL.2006.341197","DOIUrl":null,"url":null,"abstract":"Differential blood count is one of the most frequently used diagnostic methods in medicine. An algorithm for leukocytes classification represents the crucial part of any device for the automatic compilation of a differential blood count. This paper demonstrates a new algorithm for the automatic classification of leukocytes based on neural networks and digital image processing. The results of the algorithm testing show a high sensitivity of the algorithm in leukocyte detection, as well as classification accuracy of 86%","PeriodicalId":231606,"journal":{"name":"2006 8th Seminar on Neural Network Applications in Electrical Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Application of Neural Network for Automatic Classification of Leukocytes\",\"authors\":\"Stanislav Mircic, Nikola Jorgovanovic\",\"doi\":\"10.1109/NEUREL.2006.341197\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Differential blood count is one of the most frequently used diagnostic methods in medicine. An algorithm for leukocytes classification represents the crucial part of any device for the automatic compilation of a differential blood count. This paper demonstrates a new algorithm for the automatic classification of leukocytes based on neural networks and digital image processing. The results of the algorithm testing show a high sensitivity of the algorithm in leukocyte detection, as well as classification accuracy of 86%\",\"PeriodicalId\":231606,\"journal\":{\"name\":\"2006 8th Seminar on Neural Network Applications in Electrical Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 8th Seminar on Neural Network Applications in Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NEUREL.2006.341197\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 8th Seminar on Neural Network Applications in Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEUREL.2006.341197","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Neural Network for Automatic Classification of Leukocytes
Differential blood count is one of the most frequently used diagnostic methods in medicine. An algorithm for leukocytes classification represents the crucial part of any device for the automatic compilation of a differential blood count. This paper demonstrates a new algorithm for the automatic classification of leukocytes based on neural networks and digital image processing. The results of the algorithm testing show a high sensitivity of the algorithm in leukocyte detection, as well as classification accuracy of 86%
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