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- W584617772 abstract "The differential counting of white blood cells (WBCs) provides invaluable information to hematologist for diagnosis and treatment of many diseases. However, manually counting the WBCs is a time-consuming and susceptible to error procedure. Then an automatic and efficient system seems necessary and helpful. In the automatic process, the segmentation of WBCs is one of the most important stages. In this paper, we propose a new algorithm to segment a WBC. The algorithm consists of two tasks. Firstly, the Mean Shift (MS) filter is used to remove noise of the WBC image. Secondly, we propose a simple but effective region-merging algorithm to segment the image. The experimental results show that our approach is very efficient." @default.
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- W584617772 date "2011-03-31" @default.
- W584617772 modified "2023-09-23" @default.
- W584617772 title "WHITE BLOOD CELL SEGMENTATION USING MEAN SHIFT ALGORITHM" @default.
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