SOTAVerified

COVID-19 Diagnosis

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

Papers

Showing 125 of 211 papers

TitleStatusHype
COVID-19 Image Data CollectionCode2
Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptomsCode2
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray ImagesCode2
Label-Assemble: Leveraging Multiple Datasets with Partial LabelsCode1
Choquet Integral and Coalition Game-based Ensemble of Deep Learning Models for COVID-19 Screening from Chest X-ray ImagesCode1
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 optimizationCode1
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT ImageCode1
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray ImagesCode1
Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoostCode1
COVID-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional FeaturesCode1
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT ClassificationCode1
AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an AppCode1
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial IntelligenceCode1
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 DiagnosisCode1
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency departmentCode1
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breathCode1
Can AI help in screening Viral and COVID-19 pneumonia?Code1
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19Code1
A Fully Automated Deep Learning-based Network For Detecting COVID-19 from a New And Large Lung CT Scan DatasetCode1
A Novel Approach for detecting Normal, COVID-19 and Pneumonia patient using only binary classifications from chest CT-ScansCode1
Automated detection of COVID-19 cases using deep neural networks with X-ray imagesCode1
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 DiagnosisCode1
COVID-CT-Dataset: A CT Scan Dataset about COVID-19Code1
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19Code1
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray ImagesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SS-CXRPer-Class Accuracy98.25Unverified
2DenseNet-169Per-Class Accuracy98.15Unverified
3EfficientNet-B2Per-Class Accuracy97.6Unverified
4Inception Resnet V2Per-Class Accuracy97.55Unverified
5Inception ResNetPer-Class Accuracy97.5Unverified
6DenseNet-121Per-Class Accuracy96.5Unverified
7ViT-SPer-Class Accuracy89.25Unverified
#ModelMetricClaimedVerifiedStatus
1Sanskar et al.3-class test accuracy98.38Unverified
2Corona-Nidaan3-class test accuracy95Unverified
3COVID-WideNetAUC0.95Unverified
#ModelMetricClaimedVerifiedStatus
1AUCO ResNetAUC0.83Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-B/32Average F10.95Unverified
#ModelMetricClaimedVerifiedStatus
1DINO-CXRAccuracy76.47Unverified
#ModelMetricClaimedVerifiedStatus
1Bhowal et al.ACCURACY95.49Unverified