FairREAD combines disentanglement, adversarial training, and re-fusion of demographic attributes with subgroup-specific thresholds to improve the fairness-performance trade-off in chest X-ray classification.
, author Gebru, T
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FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification
FairREAD combines disentanglement, adversarial training, and re-fusion of demographic attributes with subgroup-specific thresholds to improve the fairness-performance trade-off in chest X-ray classification.