Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation

Understand

Domain adaptation is crucial for transferring the knowledge from the source labeled CT dataset to the target unlabeled MR dataset in abdominal multi-organ segmentation.

• Meanwhile, it is highly desirable to avoid the high annotation cost related to the target dataset and protect the source dataset privacy.
• Therefore, we propose an effective source-free unsupervised domain adaptation method for cross-modality abdominal multi-organ segmentation without source dataset access.
• The proposed framework comprises two stages.