Medical Image Spatial Grounding with Semantic Sampling
MICCAI 2026 poster: MIS-Ground tests 3D anatomical spatial grounding across CT, MRI, views, coordinates, prompts, and terminology. MIS-SemSam changes the token-selection rule and raises Qwen3-VL-32B accuracy from 53.4% to 66.5%.




