{"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}
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”.