Harun, Nor Hazlyna and Abu Bakar, Nur Azzah and Mohan, Uvaghesvary and Mohd Nadzir, Maslinda and Hassan, Mohamad Ghozali and Adollah, Robiyanti (2019) Automated cell counting system for chronic leukemia. In: 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT), 9-11 April 2019, Amman, Jordan, Jordan.

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Abstract

Leukemia is a group of cancers which create a large amount of immature white blood cells. Abnormal numbers of white blood cells may suggest a screening of leukemia, and the blood sample is examined under the microscope to observe if the cells appear abnormal. The manual screening of chronic leukemia is time consuming and tedious while the Automated Hematology Analyzer is too expensive, particularly for the third world countries. This has been made exacerbated by the gold standard of biopsy inspiration which is painful and invasive for the patient. An automated cell counting (ACC) system for chronic leukemia has been developed to support and ease the routine of hematologist and technologist in the screening process and to give a quick and accurate result. The fusion of image processing technique has been proposed, which include four main stages, i.e. image acquisition, image segmentation, noise removal and counting process. Based on the sensitivity test over 100 images of chronic cells, an overall result shows 98.94% sensitivity of the system performance and the processing time recorded is less than 6 second per image. This proved an excellent level of ACC system performance. It is concluded that the system is suitable to be used as an automated counting system for chronic leukemia disease due to its sensitivity and ability to reduce the time taken for screening process.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	INSPEC Accession Number: 18691628
Uncontrolled Keywords:	Automated Cell Counting System (ACC), Segmentation, Morphological Operation, Blood Cell.
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Computing
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	02 Jun 2020 00:58
Last Modified:	02 Jun 2020 00:58
URI:	https://repo.uum.edu.my/id/eprint/27055

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