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

@article{Xu2022ImprovingCC,
  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},
  year={2022},
  volume={152},
  pages={106417 - 106417}
}
  • Yujia XuH. Lam X. Bao
  • Published 9 August 2022
  • Computer Science
  • Computers in Biology and Medicine
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Prediction of COVID-19 Diagnosis from Healthy and Pneumonia CT scans using Convolutional Neural Networks

Deep learning was shown to successfully predict COVID-19 via CT scan, and the segmented lung, shown by the patient-specific CAMs, identified higher levels of inflammation in the lung of COVID scans compared to the other two groups.

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