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20242026
most citedPreMix: Label-Efficient Multiple Instance Learning via Non-Contrastive Pre-training and Feature Mixing

1 citations · 2 across the 5 of their papers we have counts for

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cs.CV2024★ 1 cited

Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification

Bryan Wong, Sungrae Hong, Mun Yong Yi

Multiple instance learning (MIL) has become a preferred method for gigapixel whole slide image (WSI) classification without requiring patch-level annotations. Current MIL research…

cs.CV2024★ 1 cited

PreMix: Label-Efficient Multiple Instance Learning via Non-Contrastive Pre-training and Feature Mixing

Bryan Wong, Mun Yong Yi

Multiple instance learning (MIL) has emerged as a powerful framework for weakly supervised whole slide image (WSI) classification, enabling slide-level predictions without requirin…