PropSAM: A Propagation-Based Model for Segmenting Any 3D Objects in
Multi-Modal Medical Images
PropSAM: A Propagation-Based Model for Segmenting Any 3D Objects in
Multi-Modal Medical Images
Volumetric segmentation is crucial for medical imaging but is often constrained by labor-intensive manual annotations and the need for scenario-specific model training. Furthermore, existing general segmentation models are inefficient due to their design and inferential approaches. Addressing this clinical demand, we introduce PropSAM, a propagation-based segmentation model that optimizes the …