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    Leukocyte Cell Nucleus Size and Shape Screening Using Morphological Images

    Author : P Srinivasa Varma

    Here, the morphological image analysis is applied to screen the size and shape of leukocyte cell nucleus. In order to diagnose hematological illnesses, and monitor immunological reactions the nuclei of leukocytes should be properly diagnosed. The methodology uses sophisticated image processing algorithms to stained blood smear images to measure the size of the nucleus and determine form characteristics such as normalcy, uniformity, and circularity of the nucleus. Our automated phase contrast system is more accurate and faster than manual examination in analyzing the leukocyte in addition to reducing the bias observer impact. The results prove that the system has the capability of effectively distinguishing between the morphologies of normal and aberrant leukocytes, which aids in early illness diagnosis. The proposed screening tool brings a great contribution to the clinical diagnosis because it allows performing correct and repeatable measurements of morphological images and provides the estimates of leukocyte nuclear morphology.


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