基于图像处理方法的多囊卵巢综合征卵泡检测

P. Yilmaz, Güzin Özmen
{"title":"基于图像处理方法的多囊卵巢综合征卵泡检测","authors":"P. Yilmaz, Güzin Özmen","doi":"10.18100/ijamec.803400","DOIUrl":null,"url":null,"abstract":"version of this paper was presented at 9th International Conference on Advanced Technologies (ICAT'20), 10-12 August 2020, Istanbul, Turkey with the title of “Follicle Detection in Polycystic Ovary Syndrome with Image Processing Methods”.","PeriodicalId":120305,"journal":{"name":"International Journal of Applied Mathematics Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Follicle Detection for Polycystic Ovary Syndrome by using Image Processing Methods\",\"authors\":\"P. Yilmaz, Güzin Özmen\",\"doi\":\"10.18100/ijamec.803400\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"version of this paper was presented at 9th International Conference on Advanced Technologies (ICAT'20), 10-12 August 2020, Istanbul, Turkey with the title of “Follicle Detection in Polycystic Ovary Syndrome with Image Processing Methods”.\",\"PeriodicalId\":120305,\"journal\":{\"name\":\"International Journal of Applied Mathematics Electronics and Computers\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Applied Mathematics Electronics and Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18100/ijamec.803400\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Applied Mathematics Electronics and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18100/ijamec.803400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

该论文的版本于2020年8月10日至12日在土耳其伊斯坦布尔举行的第九届国际先进技术会议(ICAT'20)上发表,标题为“使用图像处理方法检测多囊卵巢综合征的卵泡”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Follicle Detection for Polycystic Ovary Syndrome by using Image Processing Methods
version of this paper was presented at 9th International Conference on Advanced Technologies (ICAT'20), 10-12 August 2020, Istanbul, Turkey with the title of “Follicle Detection in Polycystic Ovary Syndrome with Image Processing Methods”.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:481959085
Book学术官方微信