Patient identity and clinical features predict brain tumor segmentation accuracy more strongly than model choice, with localized spatial biases consistent across models and no formal fairness guarantees in any.
Translating intersectionality to fair machine learning in health sciences
2 Pith papers cite this work. Polarity classification is still indexing.
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