SOTAVerified

COVID-19 Diagnosis

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

Papers

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Showing 51–100 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
FDVTS's Solution for 2nd COV19D Competition on COVID-19 Detection and Severity Analysis—0
CNN-based Local Vision Transformer for COVID-19 Diagnosis—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
Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough—0
A transfer learning-based deep learning approach for automated COVID-19 diagnosis with audio dataCode0
Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis—0
Deep Learning Based Automated COVID-19 Classification from Computed Tomography ImagesCode0
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial IntelligenceCode1
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training—0
Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data—0
COVID-19 Detection in Chest X-ray Images Using Swin-Transformer and Transformer in Transformer—0
Vision Transformer based COVID-19 Detection using Chest X-rays—0
The Second DiCOVA Challenge: Dataset and performance analysis for COVID-19 diagnosis using acoustics—0
An Explainable-AI approach for Diagnosis of COVID-19 using MALDI-ToF Mass Spectrometry—0
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
Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoostCode1
Data Augmentation and CNN Classification For Automatic COVID-19 Diagnosis From CT-Scan Images On Small Dataset—0
Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought—0
Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis—0
A Data Augmented Approach to Transfer Learning for Covid-19 Detection—0
Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 from Audio Challenges—0
Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A Comprehensive Review—0
TeliNet: Classifying CT scan images for COVID-19 diagnosisCode0
3D RegNet: Deep Learning Model for COVID-19 Diagnosis on Chest CT Image—0
A hybrid deep learning framework for Covid-19 detection via 3D Chest CT Images—0
A 3D CNN Network with BERT For Automatic COVID-19 Diagnosis From CT-Scan ImagesCode0
Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images—0
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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