{"title":"数字化乳房x光片中肿块的自适应提取方法研究","authors":"Melouah Ahlem","doi":"10.1109/WOSSPA.2013.6602343","DOIUrl":null,"url":null,"abstract":"The objective of segmentation operation is to separate the mass from the rest of the breast by trying to delimit its borders correctly. This article presents a semi-automatic mass extraction method by application of an adaptive region growing segmentation technique. The region growing process is guided by regional feature analysis; consequently, the result will be a robust algorithm able of respecting various image characteristics.","PeriodicalId":417940,"journal":{"name":"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)","volume":"169 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Toward an adaptive extraction method of masses in digitized mammograms\",\"authors\":\"Melouah Ahlem\",\"doi\":\"10.1109/WOSSPA.2013.6602343\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The objective of segmentation operation is to separate the mass from the rest of the breast by trying to delimit its borders correctly. This article presents a semi-automatic mass extraction method by application of an adaptive region growing segmentation technique. The region growing process is guided by regional feature analysis; consequently, the result will be a robust algorithm able of respecting various image characteristics.\",\"PeriodicalId\":417940,\"journal\":{\"name\":\"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)\",\"volume\":\"169 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WOSSPA.2013.6602343\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOSSPA.2013.6602343","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Toward an adaptive extraction method of masses in digitized mammograms
The objective of segmentation operation is to separate the mass from the rest of the breast by trying to delimit its borders correctly. This article presents a semi-automatic mass extraction method by application of an adaptive region growing segmentation technique. The region growing process is guided by regional feature analysis; consequently, the result will be a robust algorithm able of respecting various image characteristics.