ChongCong/Medical-SAM3
https://huggingface.co/ChongCong/Medical-SAM3Medical SAM3 is a foundation model for universal prompt-driven medical image segmentation, obtained by fully fine-tuning SAM3 on large-scale, heterogeneous 2D and 3D medical imaging datasets with paired segmentation masks and text prompts.
Sourced from
- HuggingFace — ChongCong/Medical-SAM3
Related resources
Tournesol-Saturday/railNet-tooth-segmentation-in-CBCT-image
by Tournesol-SaturdayThis model has been pushed to the Hub using the PytorchModelHubMixin integration: - Hugging Face Space (available now): https://huggingface.co/spaces/Tournesol-Saturday/railNet-tooth-segmentation-in-CBCT-image - Code: https://github.com/Tournesol-Saturday/RAIL - Paper: RAIL: Region-Aware…
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Pre-trained weights and exported models for our spine segmentation project. The source code, designed to reproduce our test results and facilitate training and running inference on your own data, is available on GitHub: https://github.com/MMIV-ML/fastMONAI/tree/master/research