Design of an iris-based medical diagnosis system

Adrian Lodin, S. Demea
{"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}
引用次数: 12

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于虹膜的医学诊断系统设计
本研究的目的是提出一个利用医学病理与虹膜表面不同部位的相关性的系统。电脑虹膜纹理和颜色分析显示纹理区域,提供有用的信息。这些区域在分割的虹膜图上的位置指出了地图扇区和内部身体系统投影之间的相互关系。最终自动生成的诊断需要用户批准,从而使系统实现半自动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Chaos modulation communication channel: A case study A 2.4 GHz high-gain low noise amplifier Modified Ω′ metric for QPP interleavers depending on SNR Information fusion for obstacle recognition in visible and infrared images Graph drawing alogorithms based module placement
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1