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Found 3 papers, 1 papers with code
Augment like there's no tomorrow: Consistently performing neural networks for medical imaging
How to recognize models suffering from this fragility, and how to design robust models are the main obstacles to clinical adoption.
A Unified Review of Deep Learning for Automated Medical Coding
Automated medical coding, an essential task for healthcare operation and delivery, makes unstructured data manageable by predicting medical codes from clinical documents.
Spectral decoupling allows training transferable neural networks in medical imaging
We show that spectral decoupling allows training neural networks on datasets with strong spurious correlations and increases networks' robustness for data distribution shifts.
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