Self-Semantic Contour Adaptation for Cross Modality Brain Tumor Segmentation

@article{Liu2022SelfSemanticCA,
  title={Self-Semantic Contour Adaptation for Cross Modality Brain Tumor Segmentation},
  author={Xiaofeng Liu and Fangxu Xing and Georges El Fakhri and Jonghye Woo},
  journal={2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)},
  year={2022},
  pages={1-5}
}
Unsupervised domain adaptation (UDA) between two significantly disparate domains to learn high-level semantic alignment is a crucial yet challenging task. To this end, in this work, we propose exploiting low-level edge information to facilitate the adaptation as a precursor task, which has a small cross-domain gap, compared with semantic segmentation. The precise contour then provides spatial information to guide the semantic adaptation. More specifically, we propose a multi-task framework to… 

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