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- CXformer(S) matches the performance of RAD-DINO with 7× less training compute (in FLOPS).
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- Models are available on Hugging Face 🤗: [CXformer(B)](https://huggingface.co/m42-health/CXformer-base), [CXformer(S)](https://huggingface.co/m42-health/CXformer-small)
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- Training and inference codebase: [CXformer-python-library](https://github.com/m42-health/CXformer)
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- CXformer(S) matches the performance of RAD-DINO with 7× less training compute (in FLOPS).
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- Models are available on Hugging Face 🤗: [CXformer(B)](https://huggingface.co/m42-health/CXformer-base), [CXformer(S)](https://huggingface.co/m42-health/CXformer-small)
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- Training and inference codebase: [CXformer-python-library](https://github.com/m42-health/CXformer)
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- Paper: [Empirical Analysis of Scaling Vision Foundation Models for Chest X-rays (MIDL 2025)](https://openreview.net/pdf?id=6fqfInxqG1)
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