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 176–200 of 211 papers

TitleStatusHype
Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 DiagnosisCode0
COVID-19 detection using ViT transformer-based approach from Computed Tomography ImagesCode0
A Deep Convolutional Neural Network for COVID-19 Detection Using Chest X-RaysCode0
Harmony-Search and Otsu based System for Coronavirus Disease (COVID-19) Detection using Lung CT Scan ImagesCode0
Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep LearningCode0
Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule NetworkCode0
COVID-19 detection from pulmonary CT scans using a novel EfficientNet with attention mechanismCode0
Detecting COVID-19 and Community Acquired Pneumonia using Chest CT scan images with Deep LearningCode0
Corona-Nidaan: lightweight deep convolutional neural network for chest X-Ray based COVID-19 infection detectionCode0
Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacksCode0
Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule NetworksCode0
Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive LearningCode0
A transfer learning-based deep learning approach for automated COVID-19 diagnosis with audio dataCode0
Diagnosis of COVID-19 using chest X-ray images based on modified DarkCovidNet modelCode0
DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acousticsCode0
RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-rayCode0
One Shot Model For COVID-19 Classification and Lesions Segmentation In Chest CT Scans Using LSTM With Attention MechanismCode0
Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approachCode0
DRR4Covid: Learning Automated COVID-19 Infection Segmentation from Digitally Reconstructed RadiographsCode0
One Shot Model For The Prediction of COVID-19 and Lesions Segmentation In Chest CT Scans Through The Affinity Among Lesion Mask FeaturesCode0
Learning Diagnosis of COVID-19 from a Single Radiological ImageCode0
Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis ModelsCode0
Efficient and Visualizable Convolutional Neural Networks for COVID-19 Classification Using Chest CTCode0
AI Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Etiology on Chest CTCode0
MAVIDH Score: A COVID-19 Severity Scoring using Chest X-Ray Pathology FeaturesCode0
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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