GitHub - uni-medical/SAM-Med3D: SAM-Med3D: An Efficient 3D Model for Promptable Volumetric Medical Image Segmentation
SAM-Med3D [Paper]
🌟 Highlights
🌟 Highlights
- 📚 Curated the most extensive volumetric medical dataset to date for training, boasting 131K 3D masks and 247 categories.
- 🚤 Achieved efficient promptable segmentation, requiring 10 to 100 times fewer prompt points for satisfactory 3D outcomes.
- 🏆 Conducted a thorough assessment of SAM-Med3D across 15 frequently-used v