Corpus ID: 232110730

Semi-supervised Left Atrium Segmentation with Mutual Consistency Training

@article{Wu2021SemisupervisedLA,
  title={Semi-supervised Left Atrium Segmentation with Mutual Consistency Training},
  author={Yicheng Wu and Minfeng Xu and Zongyuan Ge and Jianfei Cai and L. Zhang},
  journal={ArXiv},
  year={2021},
  volume={abs/2103.02911}
}
Semi-supervised learning has attracted great attention in the field of machine learning, especially for medical image segmentation tasks, since it alleviates the heavy burden of collecting abundant densely annotated data for training. However, most of existing methods underestimate the importance of challenging regions (e.g. small branches or blurred edges) during training. We believe that these unlabeled regions may contain more crucial information to minimize the uncertainty prediction for… Expand

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References

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