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Published Paper Details:
Automated Leukemia Detection using YOLO-based Blood Cell Analysis
Authors
N.Santhosh Kumar,N. Naga Sai Vara Prasad,K. Vijay Kumar,Mrs.I.GOLDA SELIA,Dr.M.CHANDRAN
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Keywords
Leukemia Detection, Deep Learning, YOLO, EfficientNet, segment anything model ,Blood Cell Analysis, Medical Image Processing
Abstract
Leukemia is a form of blood cancer that affects white blood cells and needs to be detected early so that treatment can be more effective. In many cases, doctors examine blood samples under a microscope to diagnose the disease, but this process can take a lot of time and usually depends on the experience of skilled hematologists. To address this challenge, this study introduces an automated system for detecting leukemia by using deep learning and computer vision methods. The proposed system combines YOLO-based object detection to locate and identify different types of blood cells, along with an EfficientNet model that classifies lymphocytes as either normal or leukemia cells. In this framework, microscopic images of blood smears are first analyzed to detect various blood cell types. The system then isolates lymphocytes and uses a trained neural network model to determine whether they are healthy or cancerous. The experimental results show that this method increases detection accuracy while also reducing the need for extensive manual analysis. Overall, the system serves as an effective computer- aided diagnostic tool that can support medical professionals in screening and detecting leukemia more efficiently
IJCRT's Publication Details
Unique Identification Number - IJCRT2603872
Paper ID - 303978
Author type - Indian Author
Page Number(s) - h269-h274
Pubished in - Volume 14 | Issue 3 | March 2026
DOI (Digital Object Identifier) -
No Of Downloads - 50
Author Country - India, 600095, chennai, chennai, 600095, Humanities All
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
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N.Santhosh Kumar,N. Naga Sai Vara Prasad,K. Vijay Kumar,Mrs.I.GOLDA SELIA,Dr.M.CHANDRAN, "Automated Leukemia Detection using YOLO-based Blood Cell Analysis", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.14, Issue 3, pp.h269-h274, March 2026, Available at :http://www.ijcrt.org/papers/IJCRT2603872.pdf
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The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies.
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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