A. Mencattini, G. Rabottino, M. Salmeri, R. Lojacono
{"title":"一种基于过滤的乳房x光检查微钙化的方法","authors":"A. Mencattini, G. Rabottino, M. Salmeri, R. Lojacono","doi":"10.1109/ISABEL.2010.5702878","DOIUrl":null,"url":null,"abstract":"Microcalcifications clusters are subtle signs of breast cancer and are very difficult to diagnose in the mammographic images because of their small size and low contrast with respect to the normal breast tissue. In this paper, we propose an automatic procedure for the identification of microcalcifications clusters to aid the radiologist in the detection of this kind of breast cancer signs.","PeriodicalId":165367,"journal":{"name":"2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A filtering-based procedure for the microcalcifications detection in mammograms\",\"authors\":\"A. Mencattini, G. Rabottino, M. Salmeri, R. Lojacono\",\"doi\":\"10.1109/ISABEL.2010.5702878\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Microcalcifications clusters are subtle signs of breast cancer and are very difficult to diagnose in the mammographic images because of their small size and low contrast with respect to the normal breast tissue. In this paper, we propose an automatic procedure for the identification of microcalcifications clusters to aid the radiologist in the detection of this kind of breast cancer signs.\",\"PeriodicalId\":165367,\"journal\":{\"name\":\"2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010)\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISABEL.2010.5702878\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISABEL.2010.5702878","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A filtering-based procedure for the microcalcifications detection in mammograms
Microcalcifications clusters are subtle signs of breast cancer and are very difficult to diagnose in the mammographic images because of their small size and low contrast with respect to the normal breast tissue. In this paper, we propose an automatic procedure for the identification of microcalcifications clusters to aid the radiologist in the detection of this kind of breast cancer signs.