Complete Blood Count (CBC) Analysis Mobile Application
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
(2021), pp. 1-6
Elisa V. Malasaga
a
,
Abraham T. Magpantay
b
,
Jennifer Contreras
b
,
Dialani Olama
a
,
Lexor James Basilen
a
,
Hazel Czarine S. Cleofas
a
,
Danilo R. Esquivel
a
,
Ming-Che Hsieh
c
a Computer Science Department, FEU Institute of Technology, Manila, Philippines
b Computer Science Department, Future University, Khartoum, Sudan
c Department of Information Science and Management Systems, National Taitung University, Taitung, Taiwan
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.