{"title":"一种显微镜下人类胚胎图像自动分级的方法","authors":"E. Filho, J. Noble, D. Wells","doi":"10.1109/ISBI.2010.5490232","DOIUrl":null,"url":null,"abstract":"The precise assessment of embryo viability is an extremely important factor for the optimisation of the in vitro fertilisation procedure. In order to assess embryo viability, several embryo scoring systems have been developed. However, they rely mostly on the subjective visual analysis of the embryo morphological features. For instance, an important feature for evaluation of embryos at the day 5 post-fertilisation is the number of cells in the embryo outer layer. In this paper, we present a new method for automation of embryo grading. Based on a polar coordinate version of the input image, we estimated the number of cells in the selected plane of focus using the fractal dimension. A correlation coefficient of 0.81 (n=25) between fractal dimension and the number of cells was found. We also present first segmentation results and highlight challenges that lie ahead.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Toward a method for automatic grading of microscope human embryo images\",\"authors\":\"E. Filho, J. Noble, D. Wells\",\"doi\":\"10.1109/ISBI.2010.5490232\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The precise assessment of embryo viability is an extremely important factor for the optimisation of the in vitro fertilisation procedure. In order to assess embryo viability, several embryo scoring systems have been developed. However, they rely mostly on the subjective visual analysis of the embryo morphological features. For instance, an important feature for evaluation of embryos at the day 5 post-fertilisation is the number of cells in the embryo outer layer. In this paper, we present a new method for automation of embryo grading. Based on a polar coordinate version of the input image, we estimated the number of cells in the selected plane of focus using the fractal dimension. A correlation coefficient of 0.81 (n=25) between fractal dimension and the number of cells was found. We also present first segmentation results and highlight challenges that lie ahead.\",\"PeriodicalId\":250523,\"journal\":{\"name\":\"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISBI.2010.5490232\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISBI.2010.5490232","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Toward a method for automatic grading of microscope human embryo images
The precise assessment of embryo viability is an extremely important factor for the optimisation of the in vitro fertilisation procedure. In order to assess embryo viability, several embryo scoring systems have been developed. However, they rely mostly on the subjective visual analysis of the embryo morphological features. For instance, an important feature for evaluation of embryos at the day 5 post-fertilisation is the number of cells in the embryo outer layer. In this paper, we present a new method for automation of embryo grading. Based on a polar coordinate version of the input image, we estimated the number of cells in the selected plane of focus using the fractal dimension. A correlation coefficient of 0.81 (n=25) between fractal dimension and the number of cells was found. We also present first segmentation results and highlight challenges that lie ahead.
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