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augmented-camus-segmentation
zeahub/augmented-camus-segmentation
augmented-camus-segmentation is a machine learning model from zeahub. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
If you use this model, you should cite the following work: Van De Vyver, Gilles, et al. "Generative augmentations for improved cardiac ultrasound segmentation using diffusion models." arXiv preprint arXiv:2502.20100 (…
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- License
- mit
- Access
- Public
- Created
- Sep 30, 2025
- Updated
- Sep 30, 2025
- SHA
- 0bcab35f
Model card
From the Hugging Face model README
If you use this model, you should cite the following work: Van De Vyver, Gilles, et al. "Generative augmentations for improved cardiac ultrasound segmentation using diffusion models." arXiv preprint arXiv:2502.20100 (2025).
The repo contains a nnU-Net model for cardiac segmentatoin on apical two and four chamber views. It segments the LV and Myocardium
This model is trained on the augmented CAMUS dataset. The augmentations are all generative augmentations from the work mentioned above.
This model uses the nnU-Net architecture: Isensee, F., Jaeger, P.F., Kohl, S.A.A. et al. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nat Methods 18, 203–211 (2021). https://doi.org/10.1038/s41592-020-01008-z
- License
- mit
- Created
- Sep 30, 2025
- Updated
- Sep 30, 2025