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wdd-yyy/EgoMed-IEMIS

EgoMed-IEMIS — Interactive Egocentric Medical Image Segmentation Dataset First-person videos of a clinician reviewing medical images on a screen through smart glasses, with frame-level segmentation masks for the referred medical targets. This is the dataset used in “Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation” (EgoMed-Agent). The full IEMIS dataset is 523 videos / 173,657 frames, spanning 5 imaging modalities… See the full description on the dataset page: https://huggingface.co/datasets/wdd-yyy/EgoMed-IEMIS.

Author / organizationwdd-yyy
License (as declared)other
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Created20 June 2026
Last updated at source26 July 2026
medicalmedical-imagingegocentricfirst-personvideo-object-segmentationinteractive-segmentationsmart-glasses
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