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  1. 1
    Malaria parasites segmentation in red blood cells images using mean-shift and median-cut

    Malaria parasites segmentation in red blood cells images using mean-shift and median-cut by Tn. Muda, Tn. Zalizam, A Salam, Rosalina

    Published 2010
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  2. 2
    Development of images segmentation using image thresholder and batch processing technique on the blood smears

    Development of images segmentation using image thresholder and batch processing technique on the blood smears by Al-Shoukry, Suhad, Zalili, Musa, Amer, Duha, Kareem, Safaa Muhsen

    Published 2022
    “…First, we try segmenting the individual red blood cells from the background using the color thresholder. …”
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  3. 3
    Blood cell image segmentation using unsupervised clustering techniques

    Blood cell image segmentation using unsupervised clustering techniques by Tuan Muda, Tuan Zalizam, Abdul Salam, Rosalina

    Published 2009
    “…The outcome from these methods will help to identify which technique or algorithm is the best for cell segmentation. Results from the segmented cell will be use for further classification and recognition.…”
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  4. 4
    Detection of malaria parasites in blood smear image using color-intensity feature extraction

    Detection of malaria parasites in blood smear image using color-intensity feature extraction by Rechard Lee, V. Ng

    Published 2020
    “…The input image is processed with image processing algorithms which include image sharpening, image segmentation (Canny Edge Detection and Watershed segmentation), and feature extraction of the malaria parasites (color-intensity feature extraction). …”
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  5. 5
    Blood cell image segmentation using hybrid K-means and median-cut algorithms

    Blood cell image segmentation using hybrid K-means and median-cut algorithms by Muda T.Z.T., Salam R.A.

    Published 2024
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