• Corpus ID: 234741865

Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation

@article{He2021CrossModalityBT,
  title={Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation},
  author={Kelei He and Wen Ji and Tao Zhou and Zhuoyuan Li and Jing Huo and Xin Zhang and Yang Gao and Dinggang Shen and Bing-Bin Zhang and Junfeng Zhang},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.07715}
}
Accurate segmentation of brain tumors from multi-modal Magnetic Resonance (MR) images is essential in brain tumor diagnosis and treatment. However, due to the existence of domain shifts among different modalities, the performance of networks decreases dramatically when training on one modality and performing on another, e.g., train on T1 image while perform on T2 image, which is often required in clinical applications. This also prohibits a network from being trained on labeled data and then… 

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