TUNA-Net, a task-driven cycle-consistent GAN, achieves 96.3% AUC for pediatric pneumonia detection without using pediatric labels by preserving disease semantics during adult-to-pediatric X-ray translation.
In: IEEE 16th Inter- national Symposium on Biomedical Imaging
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TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays
TUNA-Net, a task-driven cycle-consistent GAN, achieves 96.3% AUC for pediatric pneumonia detection without using pediatric labels by preserving disease semantics during adult-to-pediatric X-ray translation.