{"title":"基于小波变换的数字乳房x线图像微钙化检测","authors":"C. Juarez, V. Ponomaryov","doi":"10.1109/CERMA.2006.36","DOIUrl":null,"url":null,"abstract":"It is presented the development of algorithm for microcalcifications detection in mammography images using wavelet transform. We have proposed a computerized scheme detection microcalcifications clusters in the mammography images. The experimental results have shown the advantages and drawbacks of the detection algorithm. There are used images of the MIAS database with microcalcifications presence that permits to prove the proposed algorithm","PeriodicalId":179210,"journal":{"name":"Electronics, Robotics and Automotive Mechanics Conference (CERMA'06)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Detection of Microcalcifications in Digital Mammograms Images Using Wavelet Transform\",\"authors\":\"C. Juarez, V. Ponomaryov\",\"doi\":\"10.1109/CERMA.2006.36\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is presented the development of algorithm for microcalcifications detection in mammography images using wavelet transform. We have proposed a computerized scheme detection microcalcifications clusters in the mammography images. The experimental results have shown the advantages and drawbacks of the detection algorithm. There are used images of the MIAS database with microcalcifications presence that permits to prove the proposed algorithm\",\"PeriodicalId\":179210,\"journal\":{\"name\":\"Electronics, Robotics and Automotive Mechanics Conference (CERMA'06)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electronics, Robotics and Automotive Mechanics Conference (CERMA'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CERMA.2006.36\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronics, Robotics and Automotive Mechanics Conference (CERMA'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CERMA.2006.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection of Microcalcifications in Digital Mammograms Images Using Wavelet Transform
It is presented the development of algorithm for microcalcifications detection in mammography images using wavelet transform. We have proposed a computerized scheme detection microcalcifications clusters in the mammography images. The experimental results have shown the advantages and drawbacks of the detection algorithm. There are used images of the MIAS database with microcalcifications presence that permits to prove the proposed algorithm
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