Cross-modal distillation from multiplexed SAM/CellSAM teachers to single-channel U-Net students yields ~13 Dice point gains on TissueNet, recovering 88% of teacher performance with 23x fewer parameters.
A foundation model for cell segmentation,
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Single-Channel Tissue Segmentation via Cross-Modal Distillation from Foundation Models
Cross-modal distillation from multiplexed SAM/CellSAM teachers to single-channel U-Net students yields ~13 Dice point gains on TissueNet, recovering 88% of teacher performance with 23x fewer parameters.