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Inherent Consistency for Semi-supervised Medical Image Segmentation

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Exploring Inherent Consistency for Semi-supervised Anatomical Structure Segmentation in Medical Imaging

Introduction

This repository contains the source code and materials associated with our paper published in IEEE Transactions on Medical Imaging, titled "Exploring Inherent Consistency for Semi-supervised Anatomical Structure Segmentation in Medical Imaging".

Citation

For academic referencing, please use the following citation for our work:

@article{huang2024exploring,
  title={Exploring Inherent Consistency for Semi-supervised Anatomical Structure Segmentation in Medical Imaging},
  author={Huang, Wei and Zhang, Lei and Wang, Zizhou and Wang, Lituan},
  journal={IEEE Transactions on Medical Imaging},
  year={2024},
  publisher={IEEE}
}

Acknowledgements

We are deeply indebted to the authors of SSL4MIS and SSNet for their pioneering contributions to the field. Their work has been instrumental in shaping our research and we are grateful for their valuable insights.

Contact Information

If you have any questions, please feel free to contact me at [email protected].

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Inherent Consistency for Semi-supervised Medical Image Segmentation

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