BoxSegUS: A Spatial Consistency Box Supervised Multi-Class Segmentation with Prior and Boundary Constraint for Ultrasound Images.
This study proposes BoxSegUS, a box-supervised framework that exploits bounding-box annotations for accurate ultrasound segmentation and enforce weak-strong spatial consistency to improve robustness against spatial variations and employ a detection-prior global context modeling mechanism to reduce the influence of unre...