Complete Blood Count (CBC) Analysis Mobile Application

2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2021-11-28 DOI:10.1109/HNICEM54116.2021.9731857

Elisa V. Malasaga, Abraham Magpantay, Jennifer O. Contreras, Dialani Olama, Lexor James Basilen, Hazel Czarine S. Cleofas, Danilo R. Esquivel, M. Hsieh

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Abstract

Complete Blood Count is one of the most commonly performed medical laboratory procedure today. It is required to detect various types of diseases. Presently, some small-scale clinics in the country still does the tedious, manual method of counting the blood cell. With Complete Blood Count Analysis System through Image Processing, automated CBC can be performed by mounting the smart phone camera on the viewer of the microscope. The input image will go through several image processing algorithms such as: Binary Thresholding, Clustering, and Hough Circle Technique. The result will be computed through the formulas used in the manual method of the CBC process. Experimental results show the developed system gains 94% of accuracy for counting the Hematocrit, Hemoglobin, Red Blood Cell, and White Blood Cell values

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全血计数(CBC)分析移动应用程序

全血细胞计数是当今最常用的医学实验室程序之一。它需要检测各种类型的疾病。目前，国内一些小规模的诊所仍在使用繁琐的手工计数血细胞的方法。通过图像处理的全血细胞计数分析系统，可以通过将智能手机摄像头安装在显微镜的观察器上进行自动全血细胞计数分析。输入图像将经过几种图像处理算法，如:二值阈值，聚类和霍夫圆技术。结果将通过CBC工艺手工方法中使用的公式计算。实验结果表明，该系统对红细胞压积、血红蛋白、红细胞和白细胞的计数准确率达到94%

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)

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