Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label

Abstract Accurate and rapid diagnosis of COVID-19 suspected cases plays a crucial role in timely quarantine and medical treatment. Developing a deep learning-based model for automatic COVID-19 detection on chest CT is helpful to counter the outbreak of SARS-CoV-2. A weakly-supervised deep learning-based software system was developed using 3D CT volumes to detect COVID-19. For each patient, the lung region was segmented using a pre-trained UNet; then the segmented 3D lung region was fed into a 3D deep neural network to predict the probability of COVID-19 infectious. 499 CT volumes collected from Dec. 13, 2019, to Jan. 23, 2020, were used for training and 131 CT volumes collected from Jan 24, 2020, to Feb 6,…

• NN
  National Natural Science Foundation of China

  Awards: 61876212, 61733007
• HU
  Huazhong University of Science and Technology
• TU
  Tongji University
• TM
  Tongji Medical College, Huazhong University of Science and Technology