Ellipse detection on embryo image using modification of arc Particle Swarm Optimization (ArcPSO) based arc segment

A. R. Syulistyo, H. Wisesa, Aprinaldi, A. Bowolaksono, B. Wiweko, W. Jatmiko
{"title":"Ellipse detection on embryo image using modification of arc Particle Swarm Optimization (ArcPSO) based arc segment","authors":"A. R. Syulistyo, H. Wisesa, Aprinaldi, A. Bowolaksono, B. Wiweko, W. Jatmiko","doi":"10.1109/MHS.2015.7438307","DOIUrl":null,"url":null,"abstract":"In Vitro Fertilization (IVF) technology is used to help couple that have problem in their reproduction organs. However, the success rate of IVF is just 30%, so it is a challenging task to increase that success rate. In this paper, we proposed an ellipse detection method on single and multiple embryo image by modifying the ArcPSO method on ellipse fitting process and the process on extract the arc segment for ellipse detection. The experiment results on single embryo data showed that the proposed method has a 24% better on F-Measure, 21% better on precision, and 28% better on recall as compared to the original ArcPSO method. While the experiment results on multi embryo data showed that the proposed method has a 7% better on F-Measure, 11% better on Precision, and 2% better on Recall as compared to the original ArcPSO method.","PeriodicalId":165544,"journal":{"name":"2015 International Symposium on Micro-NanoMechatronics and Human Science (MHS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Symposium on Micro-NanoMechatronics and Human Science (MHS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MHS.2015.7438307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

In Vitro Fertilization (IVF) technology is used to help couple that have problem in their reproduction organs. However, the success rate of IVF is just 30%, so it is a challenging task to increase that success rate. In this paper, we proposed an ellipse detection method on single and multiple embryo image by modifying the ArcPSO method on ellipse fitting process and the process on extract the arc segment for ellipse detection. The experiment results on single embryo data showed that the proposed method has a 24% better on F-Measure, 21% better on precision, and 28% better on recall as compared to the original ArcPSO method. While the experiment results on multi embryo data showed that the proposed method has a 7% better on F-Measure, 11% better on Precision, and 2% better on Recall as compared to the original ArcPSO method.
基于arc粒子群算法的胚胎图像椭圆检测
体外受精(IVF)技术用于帮助生殖器官有问题的夫妇。然而,试管婴儿的成功率只有30%,因此提高成功率是一项具有挑战性的任务。本文通过对椭圆拟合过程和提取椭圆段过程的改进,提出了一种单胚胎图像和多胚胎图像的椭圆检测方法。在单胚胎数据上的实验结果表明,与原有的ArcPSO方法相比,该方法在F-Measure上提高了24%,在精密度上提高了21%,在召回率上提高了28%。而在多胚胎数据上的实验结果表明,与原始的ArcPSO方法相比,该方法的F-Measure提高了7%,Precision提高了11%,Recall提高了2%。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信