Adversarial learning can be used to develop high-performing networks trained on unannotated medical images of varying image quality, and to adapt pretrained supervised networks to new domain-shifted datasets.
- Manoj Kumar Kanakasabapathy
- Prudhvi Thirumalaraju
- Hadi Shafiee
