A Comparative Analysis of YOLOv5nu, YOLOv8n, and YOLOv11n Models for Blood Cell Detection and Classification Article Swipe
Object detection, which detects and classifies objects, is widely used in different fields. One such field is in the medical field, and more specifically it can be used to detect molecules in microscopy images to improve blood test efficiency. Nowadays, plentiful hospital labs are still manually counting blood cells which is time-consuming, and it is likely to make manual errors. A solution to this problem is to enable accurate object detection specifically designed for identifying molecules. To achieve this goal, the comparison analysis of different YOLO models, one of the most popular models in object detection, on a blood cell dataset is valuable as it evaluates the models accuracy, which provides insight into their strengths and weaknesses. The paper considers three types of YOLO models, YOLOv5nu, YOLOv8n, and YOLO11n models, on detecting and classifying red blood cells (RBC), white blood cells (WBCs), and Platelets. The experiment results show that all three models have high precision and recall rates, which means that they can identify most of the molecules accurately. This indicates a promising future of integrating object detection on blood cell count to speed up medical analysis.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.54254/2755-2721/2025.19559
- https://www.ewadirect.com/proceedings/ace/article/view/19559/pdf
- OA Status
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- 8
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All OpenAlex metadata
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https://openalex.org/W4406247662Canonical identifier for this work in OpenAlex
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https://doi.org/10.54254/2755-2721/2025.19559Digital Object Identifier
- Title
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A Comparative Analysis of YOLOv5nu, YOLOv8n, and YOLOv11n Models for Blood Cell Detection and ClassificationWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-01-10Full publication date if available
- Authors
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Jianrong LiList of authors in order
- Landing page
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https://doi.org/10.54254/2755-2721/2025.19559Publisher landing page
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https://www.ewadirect.com/proceedings/ace/article/view/19559/pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://www.ewadirect.com/proceedings/ace/article/view/19559/pdfDirect OA link when available
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Computational biology, Computer science, BiologyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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