TracerAD
Training-free few-shot 3D anomaly detection for novel PET tracers.
TracerAD addresses the cold-start problem for PET tracers when only a handful of healthy controls are available. It uses frozen foundation-model features and reasons across focal, regional, and inter-regional metabolic patterns without model training or fine-tuning.
The work was early accepted by MICCAI 2026.