Fig. 1: MedSAM is trained on a large-scale dataset that can handle diverse segmentation tasks.

The dataset covers a variety of anatomical structures, pathological conditions, and medical imaging modalities. The magenta contours and mask overlays denote the expert annotations and MedSAM segmentation results, respectively.