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Collaborative optimization for whole slide image classification
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AI
DOI：10.1016/j.knosys.2025.114936.png)
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Abstract
En 中文
• We design a collaborative optimization of multi-instance learning (COMIL) model for WSI analysis. • COMIL leverages collaborative learning between predictions and feature representations. • Cross-pseudo-bag fusion (CPF) aggregates past and current pseudo-bags, reducing bias. • Neighbor contrastive learning (NCL) improves robust representation across pseudo-bags.
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