A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images

He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Ruofeng Tong 0001, Hongjie Hu, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen 0001. A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images. In IEEE International Conference on Consumer Electronics, ICCE 2022, Las Vegas, NV, USA, January 7-9, 2022. pages 1-4, IEEE, 2022. [doi]

@inproceedings{LiIHLTHFKC22,
  title = {A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images},
  author = {He Li and Yutaro Iwamoto and Xianhua Han and Lanfen Lin and Ruofeng Tong 0001 and Hongjie Hu and Akira Furukawa and Shuzo Kanasaki and Yen-Wei Chen 0001},
  year = {2022},
  doi = {10.1109/ICCE53296.2022.9730129},
  url = {https://doi.org/10.1109/ICCE53296.2022.9730129},
  researchr = {https://researchr.org/publication/LiIHLTHFKC22},
  cites = {0},
  citedby = {0},
  pages = {1-4},
  booktitle = {IEEE International Conference on Consumer Electronics, ICCE 2022, Las Vegas, NV, USA, January 7-9, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-4154-4},
}