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The detection and summation of squamous epithelial cells for sputum quality testing

机译:痰质检测中鳞状上皮细胞的检测和累加

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Sputum with good quality is important to detect diseases. The quality of sputum is determined using Bartlett's Criteria by considering the score of squamous epithelial cells (SEC), pus cell (neutrophils) and macroscopy. For squamous epithelial cells, the score is 0 if SEC is less than 10. Whereas if SEC is within 10 to 25, the score is −1 and the score is −2 if the number of SEC is greater than 25. Currently, the detection of SEC in sputum is manually done by technologists. However, the problem with manual detection is time consuming. So, an automated vision system using image processing technique to detect the sputum quality is desirable. Image processing such as image segmentation is used to detect and count the number of SEC, and then the score is determined. Lastly, the percentage of error for this project is calculated.
机译:高质量的痰对于检测疾病很重要。痰液的质量使用巴特利特标准(Bartlett's Criteria)通过考虑鳞状上皮细胞(SEC),脓细胞(嗜中性粒细胞)和宏观检查的得分来确定。对于鳞状上皮细胞,如果SEC小于10,则分数为0。而如果SEC在10到25之间,则分数为-1,而如果SEC数大于25,则分数为-2。当前,检测痰中SEC的检查是由技术人员手动完成的。但是,手动检测的问题很耗时。因此,需要一种使用图像处理技术来检测痰液质量的自动视觉系统。使用诸如图像分割之类的图像处理来检测和计数SEC的数量,然后确定分数。最后,计算该项目的错误百分比。

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