An Automated Segmentation of Leukocytes Using Modified Watershed Algorithm on Peripheral Blood Smear Images Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.21203/rs.3.rs-1685873/v1
Purpose: Leukemia can be detected by an abnormal rise in the number of immature lymphocytes and by a decrease in the number of other blood cells. To diagnose the existence of leukemia, image processing techniques are utilized to examine microscopic peripheral blood smear (PBS) images automatically and swiftly.Methods: To the best of our knowledge, the initial step in subsequent processing is a robust segmentation technique for identifying leukocytes from their surroundings. The paper presents the segmentation of leukocytes in which three color spaces are considered in this study for image enhancement. The proposed algorithm uses marker-based watershed algorithm and peak local maxima.Results: The algorithm was used on three different datasets with various color tones, image resolutions, and magnifications. The average precision for all three-color spaces was same i.e. 94% but Structural Similarity Index Metric (SSIM) and recall of HSV was better than other two.Conclusion: The results of this study will aid experts in narrowing down their options for segmenting leukemia. Based on the comparison, it was concluded that when the colour space correction technique is used, the accuracy of the proposed methodology improves.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-1685873/v1
- https://www.researchsquare.com/article/rs-1685873/latest.pdf
- OA Status
- gold
- Cited By
- 2
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4282042959
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4282042959Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21203/rs.3.rs-1685873/v1Digital Object Identifier
- Title
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An Automated Segmentation of Leukocytes Using Modified Watershed Algorithm on Peripheral Blood Smear ImagesWork title
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-06-07Full publication date if available
- Authors
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Vipasha Abrol, Sabrina Dhalla, Savita Gupta, Sukhwinder Singh, Ajay MittalList of authors in order
- Landing page
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https://doi.org/10.21203/rs.3.rs-1685873/v1Publisher landing page
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https://www.researchsquare.com/article/rs-1685873/latest.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.researchsquare.com/article/rs-1685873/latest.pdfDirect OA link when available
- Concepts
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Peripheral blood, Watershed, Segmentation, Peripheral, Artificial intelligence, Image segmentation, Computer science, Computer vision, Pattern recognition (psychology), Algorithm, Medicine, Internal medicineTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2023: 1, 2022: 1Per-year citation counts (last 5 years)
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32Number of works referenced by this work
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-
10Other works algorithmically related by OpenAlex
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