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CSwin-PNet: A CNN-Swin Transformer combined pyramid network for breast lesion segmentation in ultrasound images

Paper | Code coming soon!

Citation

@article{YANG2023119024,
  title = {CSwin-PNet: A CNN-Swin Transformer combined pyramid network for breast lesion segmentation in ultrasound images},
  author = {Haonan Yang and Dapeng Yang},
  journal = {Expert Systems with Applications},
  volume = {213},
  pages = {119024},
  year = {2023},
  issn = {0957-4174},
  doi = {https://doi.org/10.1016/j.eswa.2022.119024}
}

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cswin-pnet's Issues

Model or dataset splitting criteria

I am working on a similar task, but the segmentation results for the base models (including U-Net, U-Net++) are also lower than the segmentation results you provided. I hope you can provide the specific splitting criteria for 5-foldcross-validation for other workers to compare with your model, or you can provide your model code, thanks a lot. ๐Ÿš€ ๐Ÿ˜Š

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