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    Bone marrow image segmentation based on multilevel thresholding

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    Date
    2012-02-27
    Author
    Robiyanti, Adollah
    Elsie Usun, Francis
    Mohd Yusoff, Mashor, Prof. Dr.
    Nor Hazlyna, Harun
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    Abstract
    This paper represents an approach of image segmentation on microscopic bone marrow images by using multilevel tresholding technique. This technique has been applied into two types of images which is normal bone marrow and Acute Lymphoblastic Leukemia (ALL). Generally, image processing technique involved five basic components which are image acquisition, image pre-processing, image segmentation, postprocessing and image analysis. The most critical step in image processing is segmentation of the image. A multilevel tresholding are proposed as a method in segmentation of WBC from its complicated background. This segmentation technique expected to be one of segmentation technique that could possibly to differentiate well between normal bone marrow and ALL in further analysis.
    URI
    http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179058
    http://dspace.unimap.edu.my/123456789/21413
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    • Conference Papers [2600]
    • Mohd Yusoff Mashor, Prof. Dr. [85]

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