First published Sep 28, 2026, 7:58:15 AM UTC · Last updated Sep 28, 2026, 7:58:30 AM UTC

PDSVF: Prompt-driven SAM-Med2D with parallel ViT and state-space fusion for skin lesion segmentation

Journal article titled PDSVF describing a prompt-driven SAM-Med2D approach with parallel ViT and state-space fusion for skin lesion segmentation. Publisher metadata names Elsevier BV and a DOI, and no further event details or claims were provided in the supplied excerpt.

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The item is a peer-reviewed research article describing a technical method for skin lesion segmentation.

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Global importance: 3/10The event's broader significance, from limited importance (1) to major global importance (10).
Impact magnitude: 3/10The scale or severity of the real-world impact, from minor (1) to extreme (10).
Urgency: 2/10How time-sensitive the event is, from low urgency (1) to immediate attention needed (10).

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PDSVF: Prompt-driven SAM-Med2D with parallel ViT and state-space fusion for skin lesion segmentation

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