CS3F is a batch-based framework that uses 2D foundation models for zero-shot anomaly detection in 3D medical volumes via cross-subject mutual similarity on pooled volumetric tokens.
Medical Image Analysis 103, 103559
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Toward Training-Free Zero-Shot Anomaly Detection in 3D Medical Images: A Batch-Based Approach Using 2D Foundation Models
CS3F is a batch-based framework that uses 2D foundation models for zero-shot anomaly detection in 3D medical volumes via cross-subject mutual similarity on pooled volumetric tokens.