Scientific literature on COVID-19 Test Methods and Devices

Detection Principle

    Imaging-CT scan Imaging-Others Imaging-X-ray ImmunoAssay-Antibody ImmunoAssay-Antigen ImmunoAssay-Others Mixed NucleicAcid-Others NucleicAcid-PCR based Others Review

Testing Method Category

  Biosensor CRISPR dPCR ELISA GICA In_silico LAMP LFIA Mixed NGS Other Other Immuno assay Other PCR method(s) Other sequencing method(s) PCR_KIT PCR_KIT & other qPCR RT-PCR RT_PCR WHO method(s)  

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Title	Detection Principle	DOI	Testing Method Category	Peer Reviewed	Navigate
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios Title: COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios	Imaging-X-ray Detection principle: Imaging-X-ray	10.1016/j.cmpb.2020.105532 DOI: 10.1016/j.cmpb.2020.105532	In_silico Testing method category: In_silico	No Peer reviewed: No	Go to details
A deep learning based hybrid approach for covid-19 disease detections Title: A deep learning based hybrid approach for covid-19 disease detections	Imaging-X-ray Detection principle: Imaging-X-ray	10.18280/ts.370313 DOI: 10.18280/ts.370313	Other Testing method category: Other	No Peer reviewed: No	Go to details
Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods Title: Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods	Imaging-X-ray Detection principle: Imaging-X-ray	10.1109/ACCESS.2020.2995597 DOI: 10.1109/ACCESS.2020.2995597	In_silico Testing method category: In_silico	No Peer reviewed: No	Go to details
Detection of coronavirus disease (COVID-19) based on deep features and support vector machine Title: Detection of coronavirus disease (COVID-19) based on deep features and support vector machine	Imaging-X-ray Detection principle: Imaging-X-ray	10.33889/IJMEMS.2020.5.4.052 DOI: 10.33889/IJMEMS.2020.5.4.052	Testing method category:	No Peer reviewed: No	Go to details
COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images Title: COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images	Imaging-X-ray Detection principle: Imaging-X-ray	10.1016/j.mehy.2020.109761 DOI: 10.1016/j.mehy.2020.109761	Testing method category:	No Peer reviewed: No	Go to details
Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays Title: Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays	Imaging-X-ray Detection principle: Imaging-X-ray	10.1016/j.irbm.2020.07.001 DOI: 10.1016/j.irbm.2020.07.001	In_silico Testing method category: In_silico	No Peer reviewed: No	Go to details
Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet Title: Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet	Imaging-X-ray Detection principle: Imaging-X-ray	10.1016/j.chaos.2020.109944 DOI: 10.1016/j.chaos.2020.109944	In_silico Testing method category: In_silico	No Peer reviewed: No	Go to details
A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization Title: A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization	Imaging-X-ray Detection principle: Imaging-X-ray	10.1016/j.asoc.2020.106580 DOI: 10.1016/j.asoc.2020.106580	In_silico Testing method category: In_silico	No Peer reviewed: No	Go to details
Viral and bacterial pneumonia diagnosis via deep learning techniques and model explainability Title: Viral and bacterial pneumonia diagnosis via deep learning techniques and model explainability	Imaging-X-ray Detection principle: Imaging-X-ray	10.14569/IJACSA.2020.0110780 DOI: 10.14569/IJACSA.2020.0110780	In_silico Testing method category: In_silico	No Peer reviewed: No	Go to details
Machine learning for coronavirus covid-19 detection from chest x-rays Title: Machine learning for coronavirus covid-19 detection from chest x-rays	Imaging-X-ray Detection principle: Imaging-X-ray	10.1016/j.procs.2020.09.258 DOI: 10.1016/j.procs.2020.09.258	Other Testing method category: Other	No Peer reviewed: No	Go to details
COVID faster R-CNN: A novel framework to Diagnose Novel Coronavirus Disease (COVID-19) in X-Ray images Title: COVID faster R-CNN: A novel framework to Diagnose Novel Coronavirus Disease (COVID-19) in X-Ray images	Imaging-X-ray Detection principle: Imaging-X-ray	10.1016/j.imu.2020.100405 DOI: 10.1016/j.imu.2020.100405	Other Testing method category: Other	No Peer reviewed: No	Go to details
Structured reporting in portable chest radiographs: An essential tool in the diagnosis of COVID-19 Title: Structured reporting in portable chest radiographs: An essential tool in the diagnosis of COVID-19	Imaging-X-ray Detection principle: Imaging-X-ray	10.1016/j.ejrad.2020.109414 DOI: 10.1016/j.ejrad.2020.109414	Other Testing method category: Other	No Peer reviewed: No	Go to details
Using X-ray images and deep learning for automated detection of coronavirus disease Title: Using X-ray images and deep learning for automated detection of coronavirus disease	Imaging-X-ray Detection principle: Imaging-X-ray	10.1080/07391102.2020.1767212 DOI: 10.1080/07391102.2020.1767212	In_silico Testing method category: In_silico	No Peer reviewed: No	Go to details
Automated detection of COVID-19 cases using deep neural networks with X-ray images Title: Automated detection of COVID-19 cases using deep neural networks with X-ray images	Imaging-X-ray Detection principle: Imaging-X-ray	10.1016/j.compbiomed.2020.103792 DOI: 10.1016/j.compbiomed.2020.103792	Testing method category:	No Peer reviewed: No	Go to details
Automatic detection of COVID-19 from chest radiographs using deep learning Title: Automatic detection of COVID-19 from chest radiographs using deep learning	Imaging-X-ray Detection principle: Imaging-X-ray	10.1016/j.radi.2020.10.018 DOI: 10.1016/j.radi.2020.10.018	In_silico Testing method category: In_silico	No Peer reviewed: No	Go to details
Chest X-ray features of SARS-CoV-2 in the emergency department: a multicenter experience from northern Italian hospitals Title: Chest X-ray features of SARS-CoV-2 in the emergency department: a multicenter experience from northern Italian hospitals	Imaging-X-ray Detection principle: Imaging-X-ray	10.1016/j.rmed.2020.106036 DOI: 10.1016/j.rmed.2020.106036	Mixed Testing method category: Mixed	No Peer reviewed: No	Go to details
An automated Residual Exemplar Local Binary Pattern and iterative ReliefF based corona detection method using lung X-ray image Title: An automated Residual Exemplar Local Binary Pattern and iterative ReliefF based corona detection method using lung X-ray image	Imaging-X-ray Detection principle: Imaging-X-ray	10.1016/j.chemolab.2020.104054 DOI: 10.1016/j.chemolab.2020.104054	In_silico Testing method category: In_silico	No Peer reviewed: No	Go to details
Within the lack of chest COVID-19 X-ray dataset: A novel detection model based on GAN and deep transfer learning Title: Within the lack of chest COVID-19 X-ray dataset: A novel detection model based on GAN and deep transfer learning	Imaging-X-ray Detection principle: Imaging-X-ray	10.3390/SYM12040651 DOI: 10.3390/SYM12040651	In_silico Testing method category: In_silico	No Peer reviewed: No	Go to details
Rapid COVID-19 diagnosis using ensemble deep transfer learning models from chest radiographic images Title: Rapid COVID-19 diagnosis using ensemble deep transfer learning models from chest radiographic images	Imaging-X-ray Detection principle: Imaging-X-ray	10.1007/s12652-020-02669-6 DOI: 10.1007/s12652-020-02669-6	In_silico Testing method category: In_silico	No Peer reviewed: No	Go to details
CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images Title: CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images	Imaging-X-ray Detection principle: Imaging-X-ray	10.1016/j.cmpb.2020.105581 DOI: 10.1016/j.cmpb.2020.105581	In_silico Testing method category: In_silico	No Peer reviewed: No	Go to details
A Hybrid COVID-19 Detection Model Using an Improved Marine Predators Algorithm and a Ranking-Based Diversity Reduction Strategy Title: A Hybrid COVID-19 Detection Model Using an Improved Marine Predators Algorithm and a Ranking-Based Diversity Reduction Strategy	Imaging-X-ray Detection principle: Imaging-X-ray	10.1109/ACCESS.2020.2990893 DOI: 10.1109/ACCESS.2020.2990893	Testing method category:	No Peer reviewed: No	Go to details
Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique Title: Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique	Imaging-X-ray Detection principle: Imaging-X-ray	10.1016/j.chaos.2020.110071 DOI: 10.1016/j.chaos.2020.110071	Testing method category:	No Peer reviewed: No	Go to details
CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization Title: CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization	Imaging-X-ray Detection principle: Imaging-X-ray	10.1016/j.compbiomed.2020.103869 DOI: 10.1016/j.compbiomed.2020.103869	Testing method category:	No Peer reviewed: No	Go to details
Deep Learning-Based Decision-Tree Classifier for COVID-19 Diagnosis From Chest X-ray Imaging Title: Deep Learning-Based Decision-Tree Classifier for COVID-19 Diagnosis From Chest X-ray Imaging	Imaging-X-ray Detection principle: Imaging-X-ray	10.3389/fmed.2020.00427 DOI: 10.3389/fmed.2020.00427	Testing method category:	No Peer reviewed: No	Go to details
Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks Title: Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks	Imaging-X-ray Detection principle: Imaging-X-ray	10.1016/j.chaos.2020.110122 DOI: 10.1016/j.chaos.2020.110122	In_silico Testing method category: In_silico	No Peer reviewed: No	Go to details

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