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Found 2 papers, 1 papers with code
medigan: a Python library of pretrained generative models for medical image synthesis
Synthetic data generated by generative models can enhance the performance and capabilities of data-hungry deep learning models in medical imaging.
Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study
In this work, we explore the domain generalization of deep learning methods for mass detection in digital mammography and analyze in-depth the sources of domain shift in a large-scale multi-center setting.
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