ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training

no code implementations • 5 Jun 2022 • Xiaofeng Liu, Fangxu Xing, Nadya Shusharina, Ruth Lim, C-C Jay Kuo, Georges El Fakhri, Jonghye Woo

Unsupervised domain adaptation (UDA) has been vastly explored to alleviate domain shifts between source and target domains, by applying a well-performed model in an unlabeled target domain via supervision of a labeled source domain.

Image Segmentation MRI segmentation +4