[CBM2024]DAC-Net

🔥🔥This repo is the official implementation of 'DAC-Net : An Light-weight U-shaped Network Based Efficient Convolution And Dual-Attention for Thyroid Nodule Segmentation', accepted at Computers in Biology and Medicine2024🔥🔥

Main Environments

• python 3.9
• pytorch 2.1.0
• torchvision 0.16.0

Requirements

Install from the requirements.txt using:

pip install -r requirements.txt

Prepare the dataset.

• The DDTI datasets, can be found here (link)
• The TN3K datasets, can be found here (link)

Reference

• UNet
• UNet++
• UNet3+
• MultiResUNet
• TransUNet
• UCTransNet
• ACC_UNet

Citation

If you find this work useful in your research or use this dataset in your work, please consider citing the following papers:

@article{2024DAC,
  title={DAC-Net: A light-weight U-shaped network based efficient convolution and attention for thyroid nodule segmentation},
  author={ Yang, Yingwei  and  Huang, Haiguang  and  Shao, Yingsheng  and  Chen, Beilei },
  journal={Computers in Biology and Medicine},
  volume={180},
  year={2024},
}