SADA combines stain-based augmentation, local alignment, and anchor-averaged supervised contrastive learning to improve imbalanced blood cell classification across domains.
Explainable ai identifies diagnostic cells of genetic aml subtypes,
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Stain-aware Domain Alignment for Imbalance Blood Cell Classification
SADA combines stain-based augmentation, local alignment, and anchor-averaged supervised contrastive learning to improve imbalanced blood cell classification across domains.