Rapid COVID-19 diagnosis using ensemble deep transfer learning models from chest radiographic images
Detection Principle
Imaging-X-ray
Target
X-ray
Testing Method Category
In_silico
Testing Method
X-ray
Testing Method - Additional Info
deep transfer learning models from chest radiographic images. Binary (covid positive and negative subjects) and multi classification (covid, normal and viral and bacterial pneumonia subjects) are used.
Reported Performance
Accuracy: 99.21% (three class classification), 96.15% (binary classification)
Sample Size
more than 1203 chest x-ray scans
Peer-reviewed
yes
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