Semantic segmentation is a task that traditionally requires a large data...
Adversarial training has been recently employed for realizing structured...
Domain adaptation aims to learn models on a supervised source domain tha...
Convolutional neural networks have been successfully applied to semantic...
Ultrasound (US) is the most commonly used liver imaging modality worldwi...
Percutaneous radiofrequency ablation (RFA) is a minimally invasive techn...