Generation of Synthetic White Blood Cell Images Using Denoising Diffusion
CellaVision’s digital hematology systems are designed to analyze blood and pre-classify different types of blood cells. Some abnormal white blood cells are rare, which can cause imbalanced datasets. This can lead to a decrease in pre- classification performance and a need to carry out more time-consuming data gathering. The aim of this thesis is to investigate the possibility of using deep learnin