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SAM-Med3D [Paper]
๐ Highlights
๐ Highlights
- ๐ Curated the most extensive volumetric medical dataset to date for training, boasting 131K 3D masks and 247 categories.
- ๐ค Achieved efficient promptable segmentation, requiring 10 to 100 times fewer prompt points for satisfactory 3D outcomes.
- ๐ Conducted a thorough assessment of SAM-Med3D across 15 frequently-used
uni-medical โข GitHub - uni-medical/SAM-Med3D: SAM-Med3D: An Efficient 3D Model for Promptable Volumetric Medical Image Segmentation
AI tools
Ankit Jena โข 1 card

Just blew my friend's mind by creating a Q/A bot in 20 mins using RAG, and dataset creation for LLM fine-tuning.
@LangChainAI and @pinecone make life so much easier :)
code : https://t.co/TDXyOufwTG https://t.co/HmP7geIF0u

This is huge.
Apple just released a Core ML conversion tool and inference pipeline for Stable Diffusion. Their code is inspired by diffusers and a pleasure to read.
We converted the weights for you in the Hub. Go play with them!
https://t.co/vNDrY1juvu https://t.co/bZwKnDiVkK
AI
Chris Cloud โข 2 cards
AI TOOLS
Tim Preut โข 2 cards
AI
Matt Ross and โข 152 cards

AI developer platform for building LLM apps with AI Agents.
Monitor cost, manage prompt, and run evals across OpenAI, Anthropic, LangChain, Gemini & more in a few lines of code.
100% Opensource. https://t.co/bF0k2wbmer
AI
Michaela Kerem โข 7 cards