Mitigating bias in chest X-ray disease diagnosis via de-biased disentangled representation learning
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Ensuring fairness and reliability in AI-driven healthcare systems is critical, particularly in chest X-ray diagnosis, where models often exhibit subgroup biases. While existing methods primarily address biases from imbalanced data, they overlook those arising ... ...
