ProLearn builds a compact prototype space from paired image-report samples and uses image queries to approximate report semantics, keeping segmentation stable when text is scarce or absent.
Density-based clustering based on hierarchical density esti- mates
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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation
ProLearn builds a compact prototype space from paired image-report samples and uses image queries to approximate report semantics, keeping segmentation stable when text is scarce or absent.