SOTAVerified

COVID-19 Diagnosis

Covid-19 Diagnosis is the task of diagnosing the presence of COVID-19 in an individual with machine learning.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–175 of 211 papers

TitleStatusHype
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging—0
FDVTS's Solution for 2nd COV19D Competition on COVID-19 Detection and Severity Analysis—0
Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis—0
Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis—0
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training—0
Few-shot Learning for CT Scan based COVID-19 Diagnosis—0
Fused Deep Convolutional Neural Network for Precision Diagnosis of COVID-19 Using Chest X-Ray Images—0
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images—0
Hemogram Data as a Tool for Decision-making in COVID-19 Management: Applications to Resource Scarcity Scenarios—0
Improving COVID-19 CT Classification of CNNs by Learning Parameter-Efficient Representation—0
Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale—0
Interpreting Uncertainty in Model Predictions For COVID-19 Diagnosis—0
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays—0
Label-Free Segmentation of COVID-19 Lesions in Lung CT—0
Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis—0
CT-xCOV: a CT-scan based Explainable Framework for COVid-19 diagnosisCode0
COVIR: A virtual rendering of a novel NN architecture O-Net for COVID-19 Ct-scan automatic lung lesions segmentationCode0
Multi-Feature Semi-Supervised Learning for COVID-19 Diagnosis from Chest X-ray ImagesCode0
Virtual imaging trials improved the transparency and reliability of AI systems in COVID-19 imagingCode0
Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 DiagnosisCode0
COVID-WideNet—A capsule network for COVID-19 detectionCode0
Single-Shot Lightweight Model For The Detection of Lesions And The Prediction of COVID-19 From Chest CT ScansCode0
Deep Learning Based Automated COVID-19 Classification from Computed Tomography ImagesCode0
COVID-19 Detection Using Transfer Learning Approach from Computed Tomography ImagesCode0
Deep Learning based Diagnosis of COVID-19 usingChest CT-scan ImagesCode0
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All datasetsCOVIDx CXR-3COVIDxCovid-19 Cough CambridgeCOVID-19 CXR DatasetCOVIDGRNovel COVID-19 Chestxray Repository

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SS-CXRPer-Class Accuracy98.25—Unverified
2DenseNet-169Per-Class Accuracy98.15—Unverified
3EfficientNet-B2Per-Class Accuracy97.6—Unverified
4Inception Resnet V2Per-Class Accuracy97.55—Unverified
5Inception ResNetPer-Class Accuracy97.5—Unverified
6DenseNet-121Per-Class Accuracy96.5—Unverified
7ViT-SPer-Class Accuracy89.25—Unverified
#ModelMetricClaimedVerifiedStatus
1Sanskar et al.3-class test accuracy98.38—Unverified
2Corona-Nidaan3-class test accuracy95—Unverified
3COVID-WideNetAUC0.95—Unverified
#ModelMetricClaimedVerifiedStatus
1AUCO ResNetAUC0.83—Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-B/32Average F10.95—Unverified
#ModelMetricClaimedVerifiedStatus
1DINO-CXRAccuracy76.47—Unverified
#ModelMetricClaimedVerifiedStatus
1Bhowal et al.ACCURACY95.49—Unverified