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 101–125 of 211 papers

TitleStatusHype
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
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
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
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
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
Show:102550
← PrevPage 5 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