Artificial Intelligence and Data Science Methods for Automatic Detection of White Blood Cells in Images

Data scieQuerynce (DS) methods and artificial intelligence (AI) are critical in today’s healthcare services operations. This study focuses on evaluating the effectiveness of AI and DS in biomedical diagnostics, including automatic detection and counting of white blood cells (WBCs) and types, which p...

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Bibliographic Details
Published in:	Journal of digital imaging 2026-02, Vol.39 (1), p.583-603
Main Authors:	Kobara, Yawo M., Akpan, Ikpe Justice, Nam, Alima Damipe, AlMukthar, Firas H., Peter, Mbuotidem
Format:	Article
Language:	English
Subjects:	Abnormalities Algorithms Artificial Intelligence Bacteria Bacterial infections Blood Blood diseases Blood vessels Bone marrow Classification Cytoplasm Data science Data Science - methods Deep learning Endothelium Enzymes Evaluation Generative artificial intelligence Granulocytes Hematological diseases Humans Image Interpretation, Computer-Assisted - methods Image Processing, Computer-Assisted - methods Imaging Immune response Immune system Inflammation Leukemia Leukocyte Count Leukocytes Leukocytes - cytology Literature reviews Localization Lymphocytes Machine learning Mapping Medical imaging Medicine Medicine & Public Health Microorganisms Pathogens Performance evaluation Radiology Review Trends
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