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 51–75 of 211 papers

TitleStatusHype
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors—0
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis—0
Improving COVID-19 CT Classification of CNNs by Learning Parameter-Efficient Representation—0
Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 DiagnosisCode0
Cov3d: Detection of the presence and severity of COVID-19 from CT scans using 3D ResNets—0
CNN-based Local Vision Transformer for COVID-19 Diagnosis—0
FDVTS's Solution for 2nd COV19D Competition on COVID-19 Detection and Severity Analysis—0
Multi-scale alignment and Spatial ROI Module for COVID-19 Diagnosis—0
COVID-19 Detection Using Transfer Learning Approach from Computed Tomography ImagesCode0
PVT-COV19D: Pyramid Vision Transformer for COVID-19 Diagnosis—0
Analyzing the impact of SARS-CoV-2 variants on respiratory sound signals—0
Coswara: A website application enabling COVID-19 screening by analysing respiratory sound samples and health symptomsCode2
COVIR: A virtual rendering of a novel NN architecture O-Net for COVID-19 Ct-scan automatic lung lesions segmentationCode0
Combating COVID-19 using Generative Adversarial Networks and Artificial Intelligence for Medical Images: A Scoping Review—0
HRCTCov19 -- A High-Resolution Chest CT Scan Image Dataset for COVID-19 Diagnosis and Differentiation—0
Using a novel fractional-order gradient method for CNN back-propagation—0
Early COVID-19 Diagnosis from Lung Ultrasound Images Combining RIULBP-TP and 3D-DenseNet—0
A Novel Approach for detecting Normal, COVID-19 and Pneumonia patient using only binary classifications from chest CT-ScansCode1
ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation—0
A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study—0
COVID-WideNet—A capsule network for COVID-19 detectionCode0
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breathCode1
Diagnosis of COVID-19 using chest X-ray images based on modified DarkCovidNet modelCode0
Virtual vs. Reality: External Validation of COVID-19 Classifiers using XCAT Phantoms for Chest Computed Tomography—0
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron—0
Show:102550
← PrevPage 3 of 9Next →
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