{"title":"骨髓图像中的白细胞检测","authors":"P. Sobrevilla, E. Montseny, J. Keller","doi":"10.1109/NAFIPS.1999.781723","DOIUrl":null,"url":null,"abstract":"This paper presents an approach to the automatic detection of white blood cells in bone marrow microscopic images. This approach is based on fuzzy techniques with the aim to allow: good processing of both vagueness and indetermination characteristics of this kind of image; and the analysis of monochrome instead of color images. Taking these considerations into account, a very low computational cost algorithm is obtained which produces highly satisfactory results.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"46","resultStr":"{\"title\":\"White blood cell detection in bone marrow images\",\"authors\":\"P. Sobrevilla, E. Montseny, J. Keller\",\"doi\":\"10.1109/NAFIPS.1999.781723\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an approach to the automatic detection of white blood cells in bone marrow microscopic images. This approach is based on fuzzy techniques with the aim to allow: good processing of both vagueness and indetermination characteristics of this kind of image; and the analysis of monochrome instead of color images. Taking these considerations into account, a very low computational cost algorithm is obtained which produces highly satisfactory results.\",\"PeriodicalId\":335957,\"journal\":{\"name\":\"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"46\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAFIPS.1999.781723\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAFIPS.1999.781723","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents an approach to the automatic detection of white blood cells in bone marrow microscopic images. This approach is based on fuzzy techniques with the aim to allow: good processing of both vagueness and indetermination characteristics of this kind of image; and the analysis of monochrome instead of color images. Taking these considerations into account, a very low computational cost algorithm is obtained which produces highly satisfactory results.