{"title":"医学图像处理检测乳腺癌-一项基于认知的研究","authors":"D. Saranyaraj, M. Manikandan","doi":"10.1109/ICSCN.2017.8085698","DOIUrl":null,"url":null,"abstract":"This paper expounds the cognitive Image processing techniques involved in medical images. There are several varieties of proliferative cancer that are being well-known by means of the researchers, which has now hit the tally to a hundred. Each and every cancer is unique of its sort to be famous alongside the signs. This paper specializes in the more than a few image processing algorithms involved in diagnosing the breast melanoma which is perilous cancer prompted in Women worldwide. The statistics for this gain knowledge of is taken from the International agency of research on cancer-World Health Organization and American cancer society. The benchmark of the present and prior study is shown to enhance the long run findings.","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Medical image processing to detect breast cancer — A cognitive-based investigation\",\"authors\":\"D. Saranyaraj, M. Manikandan\",\"doi\":\"10.1109/ICSCN.2017.8085698\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper expounds the cognitive Image processing techniques involved in medical images. There are several varieties of proliferative cancer that are being well-known by means of the researchers, which has now hit the tally to a hundred. Each and every cancer is unique of its sort to be famous alongside the signs. This paper specializes in the more than a few image processing algorithms involved in diagnosing the breast melanoma which is perilous cancer prompted in Women worldwide. The statistics for this gain knowledge of is taken from the International agency of research on cancer-World Health Organization and American cancer society. The benchmark of the present and prior study is shown to enhance the long run findings.\",\"PeriodicalId\":383458,\"journal\":{\"name\":\"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSCN.2017.8085698\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCN.2017.8085698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Medical image processing to detect breast cancer — A cognitive-based investigation
This paper expounds the cognitive Image processing techniques involved in medical images. There are several varieties of proliferative cancer that are being well-known by means of the researchers, which has now hit the tally to a hundred. Each and every cancer is unique of its sort to be famous alongside the signs. This paper specializes in the more than a few image processing algorithms involved in diagnosing the breast melanoma which is perilous cancer prompted in Women worldwide. The statistics for this gain knowledge of is taken from the International agency of research on cancer-World Health Organization and American cancer society. The benchmark of the present and prior study is shown to enhance the long run findings.