Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19

Lignende værker

• Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networks
  af: Li, Matthew D, et al.
  Udgivet: (2020)
• Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest Radiographs
  af: Li, Matthew D., et al.
  Udgivet: (2021)
• Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural Networks
  af: Li, Matthew D., et al.
  Udgivet: (2020)
• Effectiveness of Global Features for Automatic Medical Image Classification and Retrieval – the experiences of OHSU at ImageCLEFmed
  af: Kalpathy-Cramer, Jayashree, et al.
  Udgivet: (2008)
• Target Contour Testing/Instructional Computer Software (TaCTICS): A Novel Training and Evaluation Platform for Radiotherapy Target Delineation
  af: Kalpathy-Cramer, Jayashree, et al.
  Udgivet: (2010)