Towards a Universal Segmentation Model for Medical Images Using Text Prompts

The authors propose a universal medical image segmentation model, termed Segment Anything with Text (SAT), that can be driven by text prompts to perform a wide range of segmentation tasks across different medical imaging modalities, anatomies, and body regions.