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 26–50 of 211 papers

TitleStatusHype
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19Code1
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT ImageCode1
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19Code1
Automated detection of COVID-19 cases using deep neural networks with X-ray imagesCode1
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 SegmentationCode1
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and SegmentationCode1
Deep Learning COVID-19 Features on CXR using Limited Training Data SetsCode1
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray ImagesCode1
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray ImagesCode1
AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an AppCode1
COVID-CT-Dataset: A CT Scan Dataset about COVID-19Code1
Can AI help in screening Viral and COVID-19 pneumonia?Code1
Deep Learning-based Detection for COVID-19 from Chest CT using Weak LabelCode1
COVID 19 Diagnosis Analysis using Transfer Learning—0
Theory-inspired Label Shift Adaptation via Aligned Distribution Mixture—0
Towards reliable respiratory disease diagnosis based on cough sounds and vision transformers—0
An Explainable Non-local Network for COVID-19 Diagnosis—0
Region-specific Risk Quantification for Interpretable Prognosis of COVID-19Code0
COVID-19 Detection Based on Blood Test Parameters using Various Artificial Intelligence Methods—0
COVID-19 detection from pulmonary CT scans using a novel EfficientNet with attention mechanismCode0
Domain Adaptation Using Pseudo Labels for COVID-19 Detection—0
Developing a Multi-variate Prediction Model For COVID-19 From Crowd-sourced Respiratory Voice Data—0
Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive LearningCode0
Secure Federated Learning Approaches to Diagnosing COVID-19—0
Shayona@SMM4H23: COVID-19 Self diagnosis classification using BERT and LightGBM models—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