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TEAMS: Text-prompted spatiotEmporal dual-heAd Mamba Snake

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The paper introduces TEAMS, a vision‑language Mamba snake framework that enhances deep snake instance segmentation. It adds a Spatiotemporal Snake Evolution Strategy to handle complex shapes, a Contour Morphology‑Aware Mamba to improve fine‑grained detail capture, and a Text‑prompted Collaborative Dual‑Head Snake to integrate textual cues and reduce detection errors. Experiments on five medical imaging datasets show TEAMS surpasses existing methods, achieving significant gains in mDice and mBF metrics.

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