A variational autoencoder with adversarial branches reduces sex and age signal in 3D CT foundation embeddings while preserving lung cancer risk prediction accuracy.
Efficient adversarial debiasing with concept activation vector—medical image case-studies
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Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings
A variational autoencoder with adversarial branches reduces sex and age signal in 3D CT foundation embeddings while preserving lung cancer risk prediction accuracy.