White Blood Cells (WBCs) counting

White Blood Cells (WBCs) counting provides invaluable information for diagnosis of different disease. Automatic counting is helpful for improving the hematological procedure. First step in automation; segmentation; is crucial for subsequent steps; feature extraction and classification. This dataset contains microscopic images of blood smears from different patients. This dataset can be used for automatic segmentation of WBCs in microscopic images of blood smears.
This dataset contains 195 microscopic images of blood smears. A Nikon V1 camera mounted on a Nikon ECLIPSE 50i microscope with magnification of 100x is used for imaging. Images are stored in JPEG format with a resolution of 3246×2448 pixels.The dataset contains 256 WBCs in total. The database is prepared with contribution of Medical Image & Signal Processing Research Center (MISP) and department of pathology (school of medicine) at Isfahan University of Medical.

Please reference the following paper if you would like to use any part of this dataset :

Omid Sarrafzadeh, Alireza Mehri Dehnavi, Hossein Rabbani , Ardeshir Talebi, “A simple and Accurate Method for White Blood Cells Segmentation using K-Means Algorithm”, SiPS 2015, Hangzhou, China, 2015.

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