{"title":"基于纹理滤波器的乳腺区域精确分割","authors":"Pelin Kus, I. Karagöz","doi":"10.1109/BIYOMUT.2010.5479843","DOIUrl":null,"url":null,"abstract":"The first and one of the most important preprocessing steps of the mammogram analysis is segmentation of the breast region. Accurate detection of breast tissue-air line allows focusing on ROI in cancer investigation, by detecting architectural distortion at the border, determination of the retraction location at the cancerous region under skin and, reducing the storage needs in PACS. The structural differences of the breast tissue itself, the variations in breast position, orientation, amount of compression and device characteristics in image acquisitions taken in different times, makes breast segmentation process challenging. In this study, by proposed texture filter method, above 99% value is achieved in completeness, accuracy and quality parameters.","PeriodicalId":180275,"journal":{"name":"2010 15th National Biomedical Engineering Meeting","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Accurate segmentation of the breast region with texture filter in mammograms for CAD applications\",\"authors\":\"Pelin Kus, I. Karagöz\",\"doi\":\"10.1109/BIYOMUT.2010.5479843\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The first and one of the most important preprocessing steps of the mammogram analysis is segmentation of the breast region. Accurate detection of breast tissue-air line allows focusing on ROI in cancer investigation, by detecting architectural distortion at the border, determination of the retraction location at the cancerous region under skin and, reducing the storage needs in PACS. The structural differences of the breast tissue itself, the variations in breast position, orientation, amount of compression and device characteristics in image acquisitions taken in different times, makes breast segmentation process challenging. In this study, by proposed texture filter method, above 99% value is achieved in completeness, accuracy and quality parameters.\",\"PeriodicalId\":180275,\"journal\":{\"name\":\"2010 15th National Biomedical Engineering Meeting\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 15th National Biomedical Engineering Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIYOMUT.2010.5479843\",\"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 15th National Biomedical Engineering Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIYOMUT.2010.5479843","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Accurate segmentation of the breast region with texture filter in mammograms for CAD applications
The first and one of the most important preprocessing steps of the mammogram analysis is segmentation of the breast region. Accurate detection of breast tissue-air line allows focusing on ROI in cancer investigation, by detecting architectural distortion at the border, determination of the retraction location at the cancerous region under skin and, reducing the storage needs in PACS. The structural differences of the breast tissue itself, the variations in breast position, orientation, amount of compression and device characteristics in image acquisitions taken in different times, makes breast segmentation process challenging. In this study, by proposed texture filter method, above 99% value is achieved in completeness, accuracy and quality parameters.