Currently, there is a possibility for presenting more than 40,000 images of 5 types of white blood cells (including neutrophil, eosinophil, basophil, lymphocyte, and monocyte) to the researchers free of charge (for the commercial and non-commercial projects). Also we address a new method for the classification of white blood cells (WBCs) using image processing techniques and machine learning methods.
Download HereGithub CodeIf you utilized the ground truth data, in addition to the dataset paper, you should cite the following paper: Sajad Tavakoli et al. New segmentation and feature extraction algorithm for classification of white blood cells in peripheral smear images
Currently, there is a possibility for presenting more than 10,000 images of 4 types of leukemia.
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