WBCBench 2026 Challenge: Tackling Extreme Class Imbalance in White Blood Cell Classification
Zenn DL•2026年4月17日 14:27•research▸▾
分析
The WBCBench 2026 challenge showcases innovative approaches to classifying white blood cells under extreme imbalance, highlighting the potential for AI to revolutionize medical diagnostics.
要点と引用▶
- •FDVTS_WBC and PathMedAI took the top two spots with contrasting approaches.
- •The challenge focuses on classifying 13 types of white blood cells from microscope images.
- •Macro-averaged F1 score is used to evaluate model performance under extreme imbalance conditions.