The primary level for the preliminary diagnosis of disease like cancer is the biomedical analysis of microscopic blood sample images. In medical microscopic image analysis, a single image can be evaluated for different types of cells in different phases of maturation. For each cell, the nucleus and cytoplasm might differ in shape, texture, color and density. So it is a challenging problem to automatically segment the cell. In this paper, the various types of white blood segmentation techniques are discussed and the limitations of these methods are also investigated.

Medical image analysis, White blood cell image segmentation

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