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Abstract Accurate automated pelvic anatomical landmark identification for intelligent surgical applications has been limited by the lack of high-quality, standardised 3D data. To address this need, we developed a curated dataset of 99 high-resolution pelvic CT cases from Chinese subjects, comprising CT volumes, segmentation masks, 57 clinically defined anatomical landmark coordinates, pelvic surface meshes (STL files), and reference point clouds.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
