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- W2100069816 abstract "The counting and analysis of blood cells allows the evaluation and diagnosis of a vast number of diseases. In particular, the analysis of white blood cells (WBCs) is a topic of great interest to hematologists. Nowadays the morphological analysis of blood cells is performed manually by skilled operators. This involves numerous drawbacks, such as slowness of the analysis and a nonstandard accuracy, dependent on the operator skills. In literature there are only few examples of automated systems in order to analyze the white blood cells, most of which only partial. This paper presents a complete and fully automatic method for white blood cells identification from microscopic images. The proposed method firstly individuates white blood cells from which, subsequently, nucleus and cytoplasm are extracted. The whole work has been developed using MATLAB environment, in particular the Image Processing Toolbox." @default.
- W2100069816 created "2016-06-24" @default.
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- W2100069816 date "2013-01-21" @default.
- W2100069816 modified "2023-10-14" @default.
- W2100069816 title "White Blood Cells Identification and Counting from Microscopic Blood Image" @default.
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- W2100069816 doi "https://doi.org/10.5281/zenodo.1327859" @default.
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