A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization
Detection Principle
Imaging-X-ray
Target
Testing Method Category
In_silico
Testing Method
convolution neural network
Testing Method - Additional Info
Algorithm automatically reveals discriminative features on chest X-ray images
Reported Performance
accuracy: 98.97%; sensitivity: 89.39%; specificity: 99.75%; F-score: 96.72%
Sample Size
2905 images
Assay Type
Peer-reviewed
yes
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