Reinforcement Learning–Guided Pseudo-Label Purification for Robust Unsupervised Domain Adaptation In Medical Image Segmentation
Accurate medical image segmentation is crucial for clinical workflows such as radiotherapy planning and longitudinal disease monitoring. However, high-quality pixel/voxel annotations are costly and time-consuming to obtain, limiting large-scale supervised tra...
Poster Program · Therapy Physics