DESIGN OF A LEUKEMIA DETECTION SYSTEM USING DIGITAL BLOOD SMEAR IMAGES

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dc.contributor.authorS. Saminu
dc.contributor.authorI. O. Muniru
dc.contributor.authorS. A. Yahaya
dc.contributor.authorA. J. Oladimeji
dc.contributor.authorM. T. Ajibola
dc.contributor.authorM. O. Ibitoye
dc.contributor.authorY. K. Ahmed
dc.contributor.authorL. J. Jilantikiri
dc.date.accessioned2024-05-07T04:19:43Z
dc.date.available2024-05-07T04:19:43Z
dc.date.issued2023
dc.description.abstractLeukaemia is a fatal blood cancer that occurs due to the formation of abnormal and excessive increases in white blood cells in the bone marrow or blood. The traditional approaches used to diagnose the disease involve the manual analysis of blood sample images obtained from a microscope. This approach is tedious, slow, timeconsuming, and prone to errors. Therefore, automatic detection of leukaemia based on the counting of the two blood cells is paramount for diagnosis and increasing the patient’s survival rate. This paper presents a system that can detect each of the two blood cells needed through image processing, segmentation, and classification. The detection, classification, and counts are only limited to two of the cells present in the digital blood smear which are the white blood cells (WBCs) and red blood cells (RBCs). The model was evaluated with a collection of confirmed cases and normal cases to test its effectiveness in predicting the presence of Leukaemia by computing the ratio of WBC to RBC. The suggested model exhibits good performance results and can be utilized to make a reliable computer-aided diagnosis detection of leukaemia cancer.
dc.identifier.citation20. Saminu, S. Muniru, I. O. Yahaya, S. A. Oladimeji, A. J. Ajibola, M. T. Ibitoye, M. O. Ahmed, Y. K. Jilantikiri, L. J. (2023): Design of a Leukemia Detection System using Digital Blood Smear Images. An Appraisal Proceedings of the 1st Faculty of Engineering and Technology International Conference (FETICON 2023). Prof. Omodele A. A. Eletta, Prof. O. A. Lasode, Prof. J. K. Odusote (eds). 470-476. Published by Faculty of Engineering and Technology, University of Ilorin, Nigeria
dc.identifier.otherfeticon.com.ng/wp-content/uploads/2023/07/FETiCON-2023-Procceding.pdf
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/123456789/13795
dc.language.isoen
dc.publisherFaculty of Engineering and Technology, University of Ilorin, Nigeria
dc.subjectLeukaemia
dc.subjectWhite Blood Cells (WBCs)
dc.subjectRed Blood Cells (RBCs)
dc.subjectDetection
dc.subjectMachine Learning
dc.subjectBlood Smear.
dc.titleDESIGN OF A LEUKEMIA DETECTION SYSTEM USING DIGITAL BLOOD SMEAR IMAGES
dc.title.alternativePAPER 111

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