{"title":"乳房x光检查中的行为建模","authors":"Brian A. Hope","doi":"10.1109/CIT.2008.WORKSHOPS.78","DOIUrl":null,"url":null,"abstract":"An evolutionary autonomous agent approach to image feature extraction does provide a more effective means of searching an image environment, overcoming the potential combinatorial explosion experienced by more traditional image processing techniques. This approach is also suited to more difficult image processing tasks where the features being searched for are either not visible or not easily distinguishable by the human vision system. This paper proposes the development of an evolutionary based image processing application for mammography.","PeriodicalId":155998,"journal":{"name":"2008 IEEE 8th International Conference on Computer and Information Technology Workshops","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Behavourial Modeling in Mammography\",\"authors\":\"Brian A. Hope\",\"doi\":\"10.1109/CIT.2008.WORKSHOPS.78\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An evolutionary autonomous agent approach to image feature extraction does provide a more effective means of searching an image environment, overcoming the potential combinatorial explosion experienced by more traditional image processing techniques. This approach is also suited to more difficult image processing tasks where the features being searched for are either not visible or not easily distinguishable by the human vision system. This paper proposes the development of an evolutionary based image processing application for mammography.\",\"PeriodicalId\":155998,\"journal\":{\"name\":\"2008 IEEE 8th International Conference on Computer and Information Technology Workshops\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE 8th International Conference on Computer and Information Technology Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIT.2008.WORKSHOPS.78\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE 8th International Conference on Computer and Information Technology Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIT.2008.WORKSHOPS.78","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An evolutionary autonomous agent approach to image feature extraction does provide a more effective means of searching an image environment, overcoming the potential combinatorial explosion experienced by more traditional image processing techniques. This approach is also suited to more difficult image processing tasks where the features being searched for are either not visible or not easily distinguishable by the human vision system. This paper proposes the development of an evolutionary based image processing application for mammography.