Hugging Face Trending Papers August 18, 2026

TEAMS: Text-prompted spatiotEmporal dual-heAd Mamba Snake

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Deep snake is a promising family of instance segmentation methods that accurately predicts object-level contours, thereby overcoming common pixel-level misclassification issues such as mask cavities and jagged edges in semantic segmentation approaches. However, existing deep snake methods face challenges in handling complex morphological variations, accurately capturing fine-grained organ details, and correcting base detection errors.

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arXiv AI

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arXiv AI

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Related stories

CSWinUNETR: Segmentation of Thin Anatomical Structures in Medical Images

MedPlex: Deep Vision-Language Co-Adaptation for Clinically Grounded Medical Segmentation

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens

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Anatomy Contextualized Adaption of CT Foundation Models

MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models