{"title":"P63型数字化彩色图像对卵巢生殖组织分析具有较好的识别效果","authors":"T. S. Sazzad, L. Armstrong, A. K. Tripathy","doi":"10.1109/IPAS.2016.7880069","DOIUrl":null,"url":null,"abstract":"For pathology routine examination microscopic biopsy slides are considered as a most viable choice to analyze and identity ovarian reproductive tissues. Experts require substantial amount of time to process the biopsy slides under the microscope. Electronic modalities are not suitable to analyze smaller tissues especially ovarian reproductive tissues. To reduce the time and effort it would be a better choice to incorporate a computer based approach. In this paper existing research work related review has been carried out and a new modified approach has been presented. The proposed study results indicate improved and an acceptable accuracy rate in comparison to manual microscopic analysis and other existing computer based approaches.","PeriodicalId":283737,"journal":{"name":"2016 International Image Processing, Applications and Systems (IPAS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Type P63 digitized color images performs better identification for ovarian reproductive tissue analysis\",\"authors\":\"T. S. Sazzad, L. Armstrong, A. K. Tripathy\",\"doi\":\"10.1109/IPAS.2016.7880069\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For pathology routine examination microscopic biopsy slides are considered as a most viable choice to analyze and identity ovarian reproductive tissues. Experts require substantial amount of time to process the biopsy slides under the microscope. Electronic modalities are not suitable to analyze smaller tissues especially ovarian reproductive tissues. To reduce the time and effort it would be a better choice to incorporate a computer based approach. In this paper existing research work related review has been carried out and a new modified approach has been presented. The proposed study results indicate improved and an acceptable accuracy rate in comparison to manual microscopic analysis and other existing computer based approaches.\",\"PeriodicalId\":283737,\"journal\":{\"name\":\"2016 International Image Processing, Applications and Systems (IPAS)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Image Processing, Applications and Systems (IPAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPAS.2016.7880069\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Image Processing, Applications and Systems (IPAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPAS.2016.7880069","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Type P63 digitized color images performs better identification for ovarian reproductive tissue analysis
For pathology routine examination microscopic biopsy slides are considered as a most viable choice to analyze and identity ovarian reproductive tissues. Experts require substantial amount of time to process the biopsy slides under the microscope. Electronic modalities are not suitable to analyze smaller tissues especially ovarian reproductive tissues. To reduce the time and effort it would be a better choice to incorporate a computer based approach. In this paper existing research work related review has been carried out and a new modified approach has been presented. The proposed study results indicate improved and an acceptable accuracy rate in comparison to manual microscopic analysis and other existing computer based approaches.