P2Echo: one text-prompted model segments multi-view echocardiography with high accuracy and low cost
UBC-V · hf · 2026-11-12
The paper presents P2Echo, a unified view-aware text-prompted segmentation framework for echocardiography: a structured prompt (view, target structure, shape info) drives one model with dynamic image-text alignment (DylTA) and adaptive alignment measures to segment LV, myocardium, atria, RV, and more across 2CH/3CH/4CH/PLAX acoustic windows.
The pitch is replacing multi-model pipelines with a single model that generalizes across views while keeping computational cost low, targeting segmentation challenges posed by anatomical and appearance variability in automated cardiac assessment.
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