DESIGN OF A LEUKEMIA DETECTION SYSTEM USING DIGITAL BLOOD SMEAR IMAGES

Simple item page
dc.contributor.authorSaminu, Sani
dc.contributor.authorMuniru, I.O.
dc.contributor.authorSuleiman Abimbola, Yahaya
dc.contributor.authorOladimeji, A. J.
dc.contributor.authorAjibola, T.M.
dc.contributor.authorIbitoye, M.O.
dc.contributor.authorAhmed, Yusuf Kola
dc.contributor.authorJilantikiri, L. J.
dc.date.accessioned2023-08-28T11:18:04Z
dc.date.available2023-08-28T11:18:04Z
dc.date.issued2023-06
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.en_US
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/11708
dc.language.isoenen_US
dc.publisherFaculty of Engineering and Technology, University of Ilorinen_US
dc.subjectLeukaemia, White Blood Cells (WBCs), Red Blood Cells (RBCs), Detection, Machine Learning, Blood Smear.en_US
dc.titleDESIGN OF A LEUKEMIA DETECTION SYSTEM USING DIGITAL BLOOD SMEAR IMAGESen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
11C_SS_FETICON2023_Design of Leukemia Detection System using Blood Smear Images.pdf
Size:
1.48 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections