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Microscope-based white blood cell classification plays an important role in diagnosing disease. The number of segments of nucleus and the shape of segments of nucleus are regarded as important features. Since it is difficult to automatically extract these features from a blood smeared image, they have not been used in the current automatic classifiers based on smeared images. In this paper, an approach...
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