Bo Xue, Zhiqin Liu, Qingfeng Wang, Qin Tang, Jun Huang 0005, Ying Zhou. SNU-Net: a self-supervised deep learning method for pneumothorax segmentation on chest CT. In IEEE International Symposium on Circuits and Systems, ISCAS 2022, Austin, TX, USA, May 27 - June 1, 2022. pages 60-64, IEEE, 2022. [doi]
@inproceedings{XueLWT0Z22,
title = {SNU-Net: a self-supervised deep learning method for pneumothorax segmentation on chest CT},
author = {Bo Xue and Zhiqin Liu and Qingfeng Wang and Qin Tang and Jun Huang 0005 and Ying Zhou},
year = {2022},
doi = {10.1109/ISCAS48785.2022.9937654},
url = {https://doi.org/10.1109/ISCAS48785.2022.9937654},
researchr = {https://researchr.org/publication/XueLWT0Z22},
cites = {0},
citedby = {0},
pages = {60-64},
booktitle = {IEEE International Symposium on Circuits and Systems, ISCAS 2022, Austin, TX, USA, May 27 - June 1, 2022},
publisher = {IEEE},
isbn = {978-1-6654-8485-5},
}