M. Costin, O. Baltag, D. Costandache, C. Ștefănescu
{"title":"非侵入性乳腺癌诊断系统的数据流程图","authors":"M. Costin, O. Baltag, D. Costandache, C. Ștefănescu","doi":"10.1109/SOFA.2007.4318304","DOIUrl":null,"url":null,"abstract":"Breast cancer continues to be the most common of nonpreventable cancer diagnosed among women. We propose a non-invasive method of abnormal area detection based on microwaves emission detection, in order to uncover the incipient malignant processes. Underlying the actual situation, statistics and methods, our paper comments the necessary stages implemented in order to distinguish and compare the body normal and abnormal microwave radiations. In the same time, we highlight some problems, punctually submitting a fuzzy solution. This paper presents the starting point and some important, necessary steps in our research, which we are further continuing.","PeriodicalId":205589,"journal":{"name":"2007 2nd International Workshop on Soft Computing Applications","volume":"117 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Data Flow Chart in a Non-Invasive Breast Cancer Diagnosis System\",\"authors\":\"M. Costin, O. Baltag, D. Costandache, C. Ștefănescu\",\"doi\":\"10.1109/SOFA.2007.4318304\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Breast cancer continues to be the most common of nonpreventable cancer diagnosed among women. We propose a non-invasive method of abnormal area detection based on microwaves emission detection, in order to uncover the incipient malignant processes. Underlying the actual situation, statistics and methods, our paper comments the necessary stages implemented in order to distinguish and compare the body normal and abnormal microwave radiations. In the same time, we highlight some problems, punctually submitting a fuzzy solution. This paper presents the starting point and some important, necessary steps in our research, which we are further continuing.\",\"PeriodicalId\":205589,\"journal\":{\"name\":\"2007 2nd International Workshop on Soft Computing Applications\",\"volume\":\"117 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 2nd International Workshop on Soft Computing Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOFA.2007.4318304\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 2nd International Workshop on Soft Computing Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOFA.2007.4318304","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data Flow Chart in a Non-Invasive Breast Cancer Diagnosis System
Breast cancer continues to be the most common of nonpreventable cancer diagnosed among women. We propose a non-invasive method of abnormal area detection based on microwaves emission detection, in order to uncover the incipient malignant processes. Underlying the actual situation, statistics and methods, our paper comments the necessary stages implemented in order to distinguish and compare the body normal and abnormal microwave radiations. In the same time, we highlight some problems, punctually submitting a fuzzy solution. This paper presents the starting point and some important, necessary steps in our research, which we are further continuing.