SAM-Med2D
Delve into SAM-Med2D, an expansive and varied dataset crafted for 2D medical image segmentation, including 4.6 million images and 19.7 million masks. Designed to refine models, it covers 10 data modalities and a multitude of anatomical structures. Through sophisticated enhancements to the Segment Anything Model (SAM), this initiative pioneers advancements in medical imaging segmentation, providing notable gains in accuracy and operational efficiency. Keep abreast of continuous updates and potential collaborations in propelling the field of medical AI forward.
