SOTAVerified|Agents Browse Leaderboard About

COVID-19 Diagnosis

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

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 21–30 of 211 papers

Title	Date	Tasks	Status	Hype	Score
Choquet Integral and Coalition Game-based Ensemble of Deep Learning Models for COVID-19 Screening from Chest X-ray Images	Sep 9, 2021	COVID-19 DiagnosisEnsemble Learning	CodeCode Available	1	5
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis	Jul 26, 2020	Computed Tomography (CT)COVID-19 Diagnosis	CodeCode Available	1	5
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification	Sep 15, 2020	COVID-19 DiagnosisGeneral Classification	CodeCode Available	1	5
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images	Apr 6, 2020	Computed Tomography (CT)COVID-19 Diagnosis	CodeCode Available	1	5
AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App	Apr 2, 2020	COVID-19 DiagnosisTransfer Learning	CodeCode Available	1	5
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19	May 19, 2020	Computed Tomography (CT)COVID-19 Diagnosis	CodeCode Available	1	5
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence	Nov 18, 2021	COVID-19 DiagnosisDiagnostic	CodeCode Available	1	5
COVID-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional Features	Oct 14, 2020	COVID-19 DiagnosisCOVID-19 Image Segmentation	CodeCode Available	1	5
Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label	Mar 26, 2020	COVID-19 DiagnosisDeep Learning	CodeCode Available	1	5
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images	Jun 3, 2020	COVID-19 DiagnosisGeneral Classification	CodeCode Available	1	5

Show:10 25 50

← PrevPage 3 of 22Next →

All datasets COVIDx CXR-3 COVIDx Covid-19 Cough Cambridge COVID-19 CXR Dataset COVIDGR Novel COVID-19 Chestxray Repository

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SS-CXR	Per-Class Accuracy	98.25	—	Unverified
2	DenseNet-169	Per-Class Accuracy	98.15	—	Unverified
3	EfficientNet-B2	Per-Class Accuracy	97.6	—	Unverified
4	Inception Resnet V2	Per-Class Accuracy	97.55	—	Unverified
5	Inception ResNet	Per-Class Accuracy	97.5	—	Unverified
6	DenseNet-121	Per-Class Accuracy	96.5	—	Unverified
7	ViT-S	Per-Class Accuracy	89.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Sanskar et al.	3-class test accuracy	98.38	—	Unverified
2	Corona-Nidaan	3-class test accuracy	95	—	Unverified
3	COVID-WideNet	AUC	0.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AUCO ResNet	AUC	0.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ViT-B/32	Average F1	0.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DINO-CXR	Accuracy	76.47	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Bhowal et al.	ACCURACY	95.49	—	Unverified