Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT

Mohammad Arafat Hussain, Zahra Mirikharaji, Mohammad Momeny, Mahmoud Marhamati, Ali Asghar Neshat, Rafeef Garbi, Ghassan Hamarneh. Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT. Comp. Med. Imag. and Graph., 102:102127, 2022. [doi]

@article{HussainMMMNGH22,
  title = {Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT},
  author = {Mohammad Arafat Hussain and Zahra Mirikharaji and Mohammad Momeny and Mahmoud Marhamati and Ali Asghar Neshat and Rafeef Garbi and Ghassan Hamarneh},
  year = {2022},
  doi = {10.1016/j.compmedimag.2022.102127},
  url = {https://doi.org/10.1016/j.compmedimag.2022.102127},
  researchr = {https://researchr.org/publication/HussainMMMNGH22},
  cites = {0},
  citedby = {0},
  journal = {Comp. Med. Imag. and Graph.},
  volume = {102},
  pages = {102127},
}