Improving COVID-19 CT classification of CNNs by learning parameter-efficient representation

  title={Improving COVID-19 CT classification of CNNs by learning parameter-efficient representation},
  author={Yujia Xu and Hak-Keung Lam and Guangyu Jia and Jian Jiang and Junkai Liao and Xinqi Bao},
  journal={Computers in Biology and Medicine},
  pages={106417 - 106417}
  • Yujia XuH. Lam X. Bao
  • Published 9 August 2022
  • Computer Science
  • Computers in Biology and Medicine
1 Citations

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COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 From Chest CT Images Through Bigger, More Diverse Learning

Enhanced deep neural networks for COVID-19 detection from chest CT images which are trained using a large, diverse, multinational patient cohort are introduced and suggest the strong potential ofDeep neural networks as an effective tool for computer-aided COVID,19 assessment.