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Works cited by this work

35 works

Work: Enhancing medical image segmentation with adaptive convolution and dynamic high-frequency feature enhancement

  1. U-Net: Convolutional Networks for Biomedical Image Segmentation

    Olaf Ronneberger, Philipp Fischer, Thomas Brox

    Chapter201532 citations
    ABI
  2. Dataset of breast ultrasound images

    Walid Al-Dhabyani, Mohammed Mohammed Mohammed Gomaa, Hussien Khaled +1

    Article20193 citations
    ABI
  3. Swin-Unet: Unet-Like Pure Transformer for Medical Image Segmentation

    Hu Cao, Yueyue Wang, Joy Chen +4

    Chapter20233 citations
    ABI
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