COVID-19 pneumonia diagnosis using a simple 2d deep learning framework with a single chest CT image: Model development and validation
DOI
Detection Principle
Imaging-CT scan
Target
CT scan
Testing Method Category
Mixed
Testing Method
2D deep learning framework of FCONet, ResNet-50
Testing Method - Additional Info
rapidly develop an AI technique to diagnose COVID-19 pneumonia in CT images and differentiate it from non–COVID-19 pneumonia and nonpneumonia diseases.
Reported Performance
Sensitivity: 99.58%; Specificity: 100%; Accuracy: 99,87%
Sample Size
3993 images
Peer-reviewed
yes
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