Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images

Can Cui, Yaohong Wang, Shunxing Bao, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Joseph T. Roland, Ken S. Lau, Qi Liu 0024, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo. Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images. In Zhiyun Xue, Sameer K. Antani, Ghada Zamzmi, Feng Yang, Sivaramakrishnan Rajaraman, Sharon Xiaolei Huang, Marius George Linguraru, Zhaohui Liang, editors, Medical Image Learning with Limited and Noisy Data - Second International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Volume 14307 of Lecture Notes in Computer Science, pages 82-92, Springer, 2023. [doi]

@inproceedings{CuiWBTDRARLLCWLH23,
  title = {Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images},
  author = {Can Cui and Yaohong Wang and Shunxing Bao and Yucheng Tang and Ruining Deng and Lucas W. Remedios and Zuhayr Asad and Joseph T. Roland and Ken S. Lau and Qi Liu 0024 and Lori A. Coburn and Keith T. Wilson and Bennett A. Landman and Yuankai Huo},
  year = {2023},
  doi = {10.1007/978-3-031-44917-8_8},
  url = {https://doi.org/10.1007/978-3-031-44917-8_8},
  researchr = {https://researchr.org/publication/CuiWBTDRARLLCWLH23},
  cites = {0},
  citedby = {0},
  pages = {82-92},
  booktitle = {Medical Image Learning with Limited and Noisy Data - Second International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings},
  editor = {Zhiyun Xue and Sameer K. Antani and Ghada Zamzmi and Feng Yang and Sivaramakrishnan Rajaraman and Sharon Xiaolei Huang and Marius George Linguraru and Zhaohui Liang},
  volume = {14307},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-44917-8},
}