Robust Cross-Domain Generalization Using Unlabeled Target Data with Source-Domain Supervision 事件

Robust Cross-Domain Generalization Using Unlabeled Target Data with Source-Domain Supervision arXiv:2605.29122v1 Announce Type: new Abstract: It is often desirable to generalize medical imaging AI models trained with dense annotations to data acquired from different ultrasound scanners or clinical sites; however, retraining these models with new annotations is often difficult and costly. We examine this challenge in pediatric wrist fracture assessment using point-of-care ultrasound (POCUS), whe