A Hybrid ViT-ECA-CF Framework with Adaptive Loss Reweighting for Imbalanced White Blood Cell Classification
Background: White blood cells (WBCs), also known as leukocytes, play a central role in immune defense, and accurate WBC classification is essential for a hematological assessment and computer-assisted diagnosis. However, a severe class imbalance remains a major challenge in deep-learning-based WBC classification, parti...