Assessment of “Zero-Shot” General Purpose Segmentation Models: An Analysis of the Meta “Segment Anything Model” on Meningioma MRI

SAM2 demonstrated reasonable zero-shot segmentation performance on meningioma MRIs, with observable improvements seen with contour-based prompting and directional ensembling. These results suggest that zero-shot segmentation models, with some degree of radiologist assistance or intervention, are promising tools for aiding in image segmentation for meningiomas. Future work can investigate methods to improve segmentation performance for small tumor volumes and tumors without peritumoral edema.