Sublime

SAM-Med3D [Paper]

🌟 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

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