FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation
for 3D Medical Image Segmentation
FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation
for 3D Medical Image Segmentation
Adapting a medical image segmentation model to a new domain is important for improving its cross-domain transferability, and due to the expensive annotation process, Unsupervised Domain Adaptation (UDA) is appealing where only unlabeled images are needed for the adaptation. Existing UDA methods are mainly based on image or feature alignment …