Improving cervical cancer classification with imbalanced datasets combining taming transformers with T2T-ViT

Chen Zhao, Renjun Shuai, Li Ma, Wenjia Liu, Menglin Wu. Improving cervical cancer classification with imbalanced datasets combining taming transformers with T2T-ViT. Multimedia Tools Appl., 81(17):24265-24300, 2022. [doi]

@article{ZhaoSMLW22a,
  title = {Improving cervical cancer classification with imbalanced datasets combining taming transformers with T2T-ViT},
  author = {Chen Zhao and Renjun Shuai and Li Ma and Wenjia Liu and Menglin Wu},
  year = {2022},
  doi = {10.1007/s11042-022-12670-0},
  url = {https://doi.org/10.1007/s11042-022-12670-0},
  researchr = {https://researchr.org/publication/ZhaoSMLW22a},
  cites = {0},
  citedby = {0},
  journal = {Multimedia Tools Appl.},
  volume = {81},
  number = {17},
  pages = {24265-24300},
}