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 161–170 of 211 papers

Title	Date	Tasks	Status	Hype
COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Automated Diagnosis and Severity Assessment of COVID-19	Dec 10, 2020	COVID-19 DiagnosisTransfer Learning	—Unverified	0
Single-Shot Lightweight Model For The Detection of Lesions And The Prediction of COVID-19 From Chest CT Scans	Dec 2, 2020	ClassificationCOVID-19 Diagnosis	CodeCode Available	0
MAVIDH Score: A COVID-19 Severity Scoring using Chest X-Ray Pathology Features	Nov 30, 2020	COVID-19 DiagnosisPrognosis	CodeCode Available	0
Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach	Nov 29, 2020	COVID-19 Diagnosis	CodeCode Available	0
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images	Nov 27, 2020	ClassificationCOVID-19 Diagnosis	—Unverified	0
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging	Nov 23, 2020	ClassificationCOVID-19 Diagnosis	—Unverified	0
Predicting intubation support requirement of patients using Chest X-ray with Deep Representation Learning	Oct 28, 2020	COVID-19 DiagnosisDeep Learning	CodeCode Available	0
Triple-view Convolutional Neural Networks for COVID-19 Diagnosis with Chest X-ray	Oct 27, 2020	COVID-19 Diagnosis	—Unverified	0
Interpreting Uncertainty in Model Predictions For COVID-19 Diagnosis	Oct 26, 2020	COVID-19 Diagnosis	—Unverified	0
MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients	Oct 17, 2020	Contrastive LearningCOVID-19 Diagnosis	CodeCode Available	0

Show:10 25 50

← PrevPage 17 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