首页> 外文期刊>International Journal on Smart Sensing and Intelligent Systems >ELLIPSE DETECTION ON EMBRYO IMAGING USING RANDOM SAMPLE CONSENSUS (RANSAC) METHOD BASED ON ARC SEGMENT
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ELLIPSE DETECTION ON EMBRYO IMAGING USING RANDOM SAMPLE CONSENSUS (RANSAC) METHOD BASED ON ARC SEGMENT

机译:基于弧段的随机样本共识(RANSAC)方法对胚胎成像的椭圆检测

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In Vitro Fertilization (IVF) is a method which is used to help couples who have a fertility problem. One of the problems of IVF is the success rate, which is only about 30%. One cause of the problem is the embryo morphology observation done by embryologist manually. Morphologically normal embryo does not mean the embryos are genetically normal. The aforementioned phenomena can be tested by using time lapse recording in which unavailable in the manual observation. Therefore it is very important to establish method for time lapsed recording of the embryos. This can be done by automatic observation on the embryo image, where the first step is to create a system that can automatically detect the embryo. This paper proposed Random Sample Consensus (RANSAC) method based on Arc Segment to automatically detect embryo. From the experiment that have been conducted, the proposed method can detect single and multiple ellipse on embryo with a better accuracy than the previous method, EDCircles by 6% and 3% for single and double respectively.
机译:体外受精(IVF)是一种用于帮助有生育问题的夫妇的方法。试管婴儿的问题之一是成功率,只有30%左右。问题的原因之一是由胚胎学家手动进行的胚胎形态观察。形态上正常的胚胎并不意味着胚胎在基因上是正常的。可以通过使用时间间隔记录来测试上述现象,而手动观察则无法实现。因此,建立定时记录胚胎的方法非常重要。这可以通过自动观察胚胎图像来完成,第一步是创建一个可以自动检测胚胎的系统。提出了一种基于弧段的随机样本共识(RANSAC)方法来自动检测胚胎。从已进行的实验中,提出的方法可以检测到胚胎上的单个和多个椭圆,其精度比以前的方法要好,EDCircles对于单个和多个椭圆分别为6%和3%。

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