Spine Endoscopic Atlas-Tissue: multi-class anatomical segmentation in endoscopic spine surgery

Spine Endoscopic Atlas-Tissue (SEA-T) is a multicenter dataset for pixel-level multi-class semantic segmentation in endoscopic spine surgery. It contains 3,310 expert-annotated frames from 65 patients (1,663 cervical frames from 39 patients; 1,647 lumbar frames from 26 patients) across three centers, plus 11,155 unlabeled frames. Annotations cover nine classes - upper/lower lamina, ligamentum flavum, dural sac, nerve root, adipose tissue, muscle, disc material, and instrument channel - created in 3D Slicer under multi-stage quality control, with Fleiss' kappa of 0.789. The annotated data are s

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