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COVID-19 In Vitro Diagnostic Devices and Test Methods Database

Scientific literature on COVID-19 Test Methods and Devices - detail

Diagnosis and detection of infected tissue of COVID-19 patients based on lung x-ray image using convolutional neural network approaches

Detection Principle
Imaging-X-ray
Target
X-ray lung
Testing Method Category
Other
Testing Method - Additional Info
Two methods of deep learning: 1) deep neural network (DNN) on the fractal feature of images and 2) convolutional neural network (CNN) methods
Reported Performance
1) DNN Accuracy: 83.4%; Sensitivity: 86% 2) CNN Accuracy: 93.2%; Sensitivity: 96.1%
Sample Size
682 images
Peer-reviewed
yes

The database contains available information from scientific literature that is being updated periodically. Please note that the provided information (as retrieved from analysed papers) is provided only for devices commercially available with CE-IVD mark. Acknowledgements