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Analytics Everywhere Lab, University of New Brunswick, Canada
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Despite advanced LLM capabilities, achieving precise HTS code classification remains a challenge, underscoring the necessity for a collaborative, evidence-based approach.
Stain normalization and decoupled learning can dramatically improve the robustness of white blood cell classification, even in the face of significant staining variations and class imbalances.
