e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation

25 Jan 2020Hongwei LiTimo LoehrBenedikt WiestlerJianguo ZhangBjoern Menze

Domain adaptation in healthcare data is a potentially critical component in making computer-aided diagnostic systems applicable cross multiple sites and imaging scanners. In this paper, we propose an efficient unsupervised domain adaptation framework for robust image segmentation cross multiple similar domains... (read more)

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