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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 81–90 of 211 papers

Title	Date	Tasks	Status	Hype
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training	Nov 2, 2021	COVID-19 DiagnosisFederated Learning	—Unverified	0
Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data	Oct 24, 2021	COVID-19 Diagnosis	—Unverified	0
COVID-19 Detection in Chest X-ray Images Using Swin-Transformer and Transformer in Transformer	Oct 16, 2021	COVID-19 DiagnosisEthics	—Unverified	0
Vision Transformer based COVID-19 Detection using Chest X-rays	Oct 9, 2021	COVID-19 DiagnosisCOVID-19 Modelling	—Unverified	0
The Second DiCOVA Challenge: Dataset and performance analysis for COVID-19 diagnosis using acoustics	Oct 4, 2021	COVID-19 Diagnosis	—Unverified	0
An Explainable-AI approach for Diagnosis of COVID-19 using MALDI-ToF Mass Spectrometry	Sep 28, 2021	COVID-19 DiagnosisDecision Making	—Unverified	0
Label-Assemble: Leveraging Multiple Datasets with Partial Labels	Sep 25, 2021	COVID-19 DiagnosisSpecificity	CodeCode Available	1
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
Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost	Sep 3, 2021	COVID-19 DiagnosisImage Classification	CodeCode Available	1
Data Augmentation and CNN Classification For Automatic COVID-19 Diagnosis From CT-Scan Images On Small Dataset	Aug 16, 2021	ClassificationCOVID-19 Diagnosis	—Unverified	0

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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