{"title":"用乳房x光图像比较和识别精确的频域方法","authors":"B. Kiran Bala, I. I. Raj","doi":"10.1109/icpcsi.2017.8392174","DOIUrl":null,"url":null,"abstract":"To identify the variation between tumor and breast cancer in earlier stage itself with the help of mammogram images by using MIAS database. To extract the best transforms in frequency domain with the help of comparative analysis of result, The proposed sectional metric for the identification for the input images like age wise, left and right image taken in this process and finally from the result system taken this transform for the entire process.","PeriodicalId":6589,"journal":{"name":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","volume":"28 1","pages":"2536-2538"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Comparative and identification of exact frequency domain approaches by using mammogram images\",\"authors\":\"B. Kiran Bala, I. I. Raj\",\"doi\":\"10.1109/icpcsi.2017.8392174\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To identify the variation between tumor and breast cancer in earlier stage itself with the help of mammogram images by using MIAS database. To extract the best transforms in frequency domain with the help of comparative analysis of result, The proposed sectional metric for the identification for the input images like age wise, left and right image taken in this process and finally from the result system taken this transform for the entire process.\",\"PeriodicalId\":6589,\"journal\":{\"name\":\"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)\",\"volume\":\"28 1\",\"pages\":\"2536-2538\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icpcsi.2017.8392174\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icpcsi.2017.8392174","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparative and identification of exact frequency domain approaches by using mammogram images
To identify the variation between tumor and breast cancer in earlier stage itself with the help of mammogram images by using MIAS database. To extract the best transforms in frequency domain with the help of comparative analysis of result, The proposed sectional metric for the identification for the input images like age wise, left and right image taken in this process and finally from the result system taken this transform for the entire process.