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Domain Adaptive Medical Image Segmentation via Adversarial Learning of Disease-Specific Spatial Patterns [article]

Hongwei Li, Timo Loehr, Anjany Sekuboyina, Jianguo Zhang, Benedikt Wiestler, Bjoern Menze
2020 arXiv   pre-print
In this paper, we propose an unsupervised domain adaptation framework for boosting image segmentation performance across multiple domains without using any manual annotations from the new target domains  ...  The adaptation process needs continuous monitoring, however, as we cannot assume the presence of ground-truth masks for the target domain, we propose two new metrics to monitor the adaptation process,  ...  RELATED WORK Our work is related to unsupervised domain adaptation, cross-domain image segmentation and continual learning. Unsupervised domain adaptation.  ... 
arXiv:2001.09313v3 fatcat:hyjylq4z6rdcxlkzoz4cmthn6i