A new open-source desktop application called Interactive Medical-SAM2 GUI has been developed for semi-automatic annotation of 2D and 3D medical images. Built on the Napari viewer, it integrates SAM2-style propagation with box and point prompting for efficient 3D annotation workflows. The tool allows users to process multiple studies sequentially, refine predictions, and export labels with per-object volumetry and 3D rendering, preserving image geometry. AI
IMPACT Streamlines medical image annotation, potentially accelerating research and development in AI-driven medical diagnostics.
RANK_REASON The item describes a new open-source application for medical image annotation based on existing models, presented as a research paper on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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