Practical fine-grained learning based anomaly classification for ECG image

Qing Cao, Nan Du, Li Yu, Ming Zuo, Jingsheng Lin, Nathan Liu, ErHeng Zhong, Zizhu Liu, Qiaoran Chen, Ying Shen 0001, Kang Chen. Practical fine-grained learning based anomaly classification for ECG image. Artificial Intelligence in Medicine, 119:102130, 2021. [doi]

@article{CaoDYZLLZLCSC21,
  title = {Practical fine-grained learning based anomaly classification for ECG image},
  author = {Qing Cao and Nan Du and Li Yu and Ming Zuo and Jingsheng Lin and Nathan Liu and ErHeng Zhong and Zizhu Liu and Qiaoran Chen and Ying Shen 0001 and Kang Chen},
  year = {2021},
  doi = {10.1016/j.artmed.2021.102130},
  url = {https://doi.org/10.1016/j.artmed.2021.102130},
  researchr = {https://researchr.org/publication/CaoDYZLLZLCSC21},
  cites = {0},
  citedby = {0},
  journal = {Artificial Intelligence in Medicine},
  volume = {119},
  pages = {102130},
}