{"title":"多囊卵巢综合征的研究与理论研究","authors":"S. Sheela, M. Sumathi","doi":"10.1109/ICCIC.2014.7238394","DOIUrl":null,"url":null,"abstract":"Poly Cystic Ovary Syndrome (PCOS) is an endocrine disorder affecting many women in their reproductive age groups related with these problems of infertility, diabetes mellitus and cardiovascular disease. Diagnosis of the condition is mostly done by imaging parameters. Ultrasound imaging has become a very important technology in diagnosis of PCOS. Due to overlapping of the follicles, inherent noise of the equipment and lack of operator knowledge as it is largely an experience dependent procedure, the characteristic appearance of the image becomes more challenging and making the diagnosis process time consuming. Due to the above factors, accuracy in detection of cysts is affected. Therefore, the Early as well as Accurate Detection of Abnormalities in Women's Reproductive System is required before the treatment process, to avoid Infertility. This paper overviews various methodologies proposed so far in terms of removal of speckle noise, extraction of region of interest using segmentation, classification of images so as to achieve maximum accuracy in detection of cyst in short period of time.","PeriodicalId":187874,"journal":{"name":"2014 IEEE International Conference on Computational Intelligence and Computing Research","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Study and theoretical investigations on PCOS\",\"authors\":\"S. Sheela, M. Sumathi\",\"doi\":\"10.1109/ICCIC.2014.7238394\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Poly Cystic Ovary Syndrome (PCOS) is an endocrine disorder affecting many women in their reproductive age groups related with these problems of infertility, diabetes mellitus and cardiovascular disease. Diagnosis of the condition is mostly done by imaging parameters. Ultrasound imaging has become a very important technology in diagnosis of PCOS. Due to overlapping of the follicles, inherent noise of the equipment and lack of operator knowledge as it is largely an experience dependent procedure, the characteristic appearance of the image becomes more challenging and making the diagnosis process time consuming. Due to the above factors, accuracy in detection of cysts is affected. Therefore, the Early as well as Accurate Detection of Abnormalities in Women's Reproductive System is required before the treatment process, to avoid Infertility. This paper overviews various methodologies proposed so far in terms of removal of speckle noise, extraction of region of interest using segmentation, classification of images so as to achieve maximum accuracy in detection of cyst in short period of time.\",\"PeriodicalId\":187874,\"journal\":{\"name\":\"2014 IEEE International Conference on Computational Intelligence and Computing Research\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Computational Intelligence and Computing Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIC.2014.7238394\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Computational Intelligence and Computing Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIC.2014.7238394","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Poly Cystic Ovary Syndrome (PCOS) is an endocrine disorder affecting many women in their reproductive age groups related with these problems of infertility, diabetes mellitus and cardiovascular disease. Diagnosis of the condition is mostly done by imaging parameters. Ultrasound imaging has become a very important technology in diagnosis of PCOS. Due to overlapping of the follicles, inherent noise of the equipment and lack of operator knowledge as it is largely an experience dependent procedure, the characteristic appearance of the image becomes more challenging and making the diagnosis process time consuming. Due to the above factors, accuracy in detection of cysts is affected. Therefore, the Early as well as Accurate Detection of Abnormalities in Women's Reproductive System is required before the treatment process, to avoid Infertility. This paper overviews various methodologies proposed so far in terms of removal of speckle noise, extraction of region of interest using segmentation, classification of images so as to achieve maximum accuracy in detection of cyst in short period of time.