Thomas G. O'Connor

MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling

Robust segmentation is critical for deriving quantitative measures from large-scale multi-center and longitudinal medical scans. Manually annotating medical scans however is expensive and labor-intensive and may not always be available in every domain. Unsupervised domain adaptation (UDA) is a well-…