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Open access Aug 2026

Contrastive adversarial mix-up learning for unsupervised cross-modality image segmentation

Background Unsupervised domain adaptation (UDA) has been extensively investigated in terms of its ability to address the performance degradation caused by distribution shifts between labeled source-domain images and unlabeled target-domain images. In radiotherapy, this problem is particularly relevant for the transfer...

Yi-Chao Shen, Ping-Jun Gu, Chang-Hui Yu et al. · 0 citations

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