{"title":"基于虹膜的医学诊断系统设计","authors":"Adrian Lodin, S. Demea","doi":"10.1109/ISSCS.2009.5206187","DOIUrl":null,"url":null,"abstract":"The goal of this study is to present a system which use correlation between medical pathology and different sectors from the surface of the iris. A computerized iris texture and color analysis reveals texture regions which offer useful information. Locations of those regions upon a segmented iridology charts point out an interrelation between map sectors and the projection of the internal body system. The final automatically generated diagnosis needs user approval, thus making the system semi-automatic.","PeriodicalId":277587,"journal":{"name":"2009 International Symposium on Signals, Circuits and Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Design of an iris-based medical diagnosis system\",\"authors\":\"Adrian Lodin, S. Demea\",\"doi\":\"10.1109/ISSCS.2009.5206187\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The goal of this study is to present a system which use correlation between medical pathology and different sectors from the surface of the iris. A computerized iris texture and color analysis reveals texture regions which offer useful information. Locations of those regions upon a segmented iridology charts point out an interrelation between map sectors and the projection of the internal body system. The final automatically generated diagnosis needs user approval, thus making the system semi-automatic.\",\"PeriodicalId\":277587,\"journal\":{\"name\":\"2009 International Symposium on Signals, Circuits and Systems\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Symposium on Signals, Circuits and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSCS.2009.5206187\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Symposium on Signals, Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCS.2009.5206187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The goal of this study is to present a system which use correlation between medical pathology and different sectors from the surface of the iris. A computerized iris texture and color analysis reveals texture regions which offer useful information. Locations of those regions upon a segmented iridology charts point out an interrelation between map sectors and the projection of the internal body system. The final automatically generated diagnosis needs user approval, thus making the system semi-automatic.
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