This code is builded for the paper: Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learning (https://doi.org/10.1016/j.asoc.2022.108729). If this code is helpful to you, please cite the above paper. Thanks!
Notice!!
Because many people are interested in this work, they encountered some problems when reproducing the results of the paper. In order to make it more convenient for everyone to participate in this work, I uploaded the pre-processed data, pre-trained model and code to Google Cloud Disk and Baidu Netdisk.
Baidu Netdisk:
After entering the link, non-Chinese readers can click "下载" (meaning download) to download data, models and codes.
link: https://pan.baidu.com/s/102MrIkDmJrvnV5EqPqzSNA?pwd=n8mc
提取码（password）: n8mc
Google Cloud Disk:
https://drive.google.com/drive/folders/1hqc7ATDCj-DfuvV8npeJK4O-bTMripPk?usp=share_link
Thank you again for your attention. Hope we can solve the problem of high cost of medical image labeling one day and let AI land.