Segmentation of White Blood Cells Based on CBAM-DC-UNet
Monitoring the morphology of blood leukocytes, plays an important role in medical research, especially in the treatment of diseases such as immunodeficiency.Traditional manual detection methods are susceptible to numerous interference factors.Therefore, blood cells are often segmented using deep-learning algorithms.This study proposes a U-Net model