P2Echo: text-prompted single model segments cardiac structures across echo views
pmttyji · reddit · 2026-11-12
P2Echo is a unified framework for text-prompted segmentation of multiple cardiac structures across standard echocardiographic views; official pretrained weights are now on Hugging Face, alongside a paper (arXiv:2611.13425), code, and project page.
- Structured, view-aware text prompts control segmentation through a single model.
- Its Dynamic Image-Text Alignment (DyITA) module adaptively conditions decoder features on the requested view and anatomical structure.
- Intended for medical imaging research only; not validated for clinical decision-making.
Related event: P2Echo: text-prompted model segments multi-view cardiac ultrasound(2 posts)→
More from Research
- One Chart Explains the Linear Algebra Behind Modern AI, from Vectors to SVD — HankYeomans · 2026-11-13
- Codex agent shrinks a 27M-param transformer to 11.46M with equal loss via weight sharing — yoshiyama_akira · 2026-11-13
- Google open-sources Harness²: Agent = Model + Harness, recursive agent harnessing framework — 2C_ornot2C · 2026-11-13
- Question's Gambit: first-step reranking lifts agentic search accuracy to 90.5% — CShorten30 · 2026-11-13
- Terence Tao: major Riemann hypothesis progress came from AI-generated ideas nobody yet understands — burny_tech · 2026-11-13
- Deleting under 0.05% of weights matches full fine-tuning, NYU paper shows — burny_tech · 2026-11-13