[MICCAI2019] Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-M
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation 作者：Junlin Yang，yale Intro CT便宜快速，但有辐射且对比度低；MRI对比度高，无辐射，但成本高，不易得到。在实际治疗中，CT和MRI都需要，且需要对
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相关文章
- 1. [MICCAI2019]Unsupervised Domain Adaptation via Disentangled Representations
- 2. Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver
- 3. 【论文笔记】Unsupervised Domain-Specific Deblurring via Disentangled Representations
- 4. [论文笔记]Unsupervised Domain-Specific Deblurring via Disentangled Representations(CVPR2019)
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- 10. Unsupervised Domain Adaptation by Backpropagation(2015)