This is an exciting milestone for our MEDSAM! 🎉 Our paper "Segment Anything in Medical Images" has surpassed 1,000 citations!

Grateful to the amazing community advancing medical image analysis. This work introduced the first promptable medical image segmentation foundation model, generalizing across diverse medical imaging modalities and a wide range of anatomical structures or pathologies.

The public code repository has received 3000+ stars, and we’re thrilled to see researchers have utilized MedSAM in various ways, such as adaptation, fine-tuning, and development of new models.