A data set of more than 170,000 microscopic images allows for the training of neural networks for the identification of bone marrow cells with high accuracy.
The researchers developed the largest open-access database on microscopic images of bone marrow cells to date, consisting of more than 170,000 single-cell images from more 900 patients with various blood diseases.