Automated bone marrow cytology using deep learning to generate a histogram of cell types

BackgroundBone marrow cytology is required to make a hematological diagnosis, influencing critical clinical decision points in hematology. However, bone marrow cytology is tedious, limited to experienced reference centers and associated with inter-observer variability. This may lead to a delayed or incorrect diagnosis, leaving an unmet need for innovative supporting technologies.MethodsWe develop an end-to-end deep learning-based system for …