Self-supervised Learning for Anomaly Detection in Fundus Image

Sang-il Ahn, Jitae Shin. Self-supervised Learning for Anomaly Detection in Fundus Image. In Bhavna J. Antony, Huazhu Fu, Cecilia S. Lee, Tom J. MacGillivray, Yanwu Xu 0001, Yalin Zheng, editors, Ophthalmic Medical Image Analysis - 9th International Workshop, OMIA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Volume 13576 of Lecture Notes in Computer Science, pages 143-151, Springer, 2022. [doi]

@inproceedings{AhnS22-0,
  title = {Self-supervised Learning for Anomaly Detection in Fundus Image},
  author = {Sang-il Ahn and Jitae Shin},
  year = {2022},
  doi = {10.1007/978-3-031-16525-2_15},
  url = {https://doi.org/10.1007/978-3-031-16525-2_15},
  researchr = {https://researchr.org/publication/AhnS22-0},
  cites = {0},
  citedby = {0},
  pages = {143-151},
  booktitle = {Ophthalmic Medical Image Analysis - 9th International Workshop, OMIA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings},
  editor = {Bhavna J. Antony and Huazhu Fu and Cecilia S. Lee and Tom J. MacGillivray and Yanwu Xu 0001 and Yalin Zheng},
  volume = {13576},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-16525-2},
}