TP-UNet combines temporal text prompts, contrastive semantic alignment, and cross-attention with UNet, reporting improved Dice on UW-Madison and LiTS datasets, though the organ-name cue is not ablated.
Contrastive learning of medical visual representations f rom paired images and text,
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TP-UNet: Temporal Prompt Guided UNet for Medical Image Segmentation
TP-UNet combines temporal text prompts, contrastive semantic alignment, and cross-attention with UNet, reporting improved Dice on UW-Madison and LiTS datasets, though the organ-name cue is not ablated.