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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 191–200 of 211 papers

Title	Date	Tasks	Status	Hype	Score
Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection	Mar 22, 2020	COVID-19 DiagnosisDeep Learning	—Unverified	0	0
Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 from Audio Challenges	Jul 30, 2021	COVID-19 Diagnosis	—Unverified	0	0
Everything is Varied: The Surprising Impact of Individual Variation on ML Robustness in Medicine	Oct 10, 2022	COVID-19 DiagnosisData Augmentation	—Unverified	0	0
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging	Nov 23, 2020	ClassificationCOVID-19 Diagnosis	—Unverified	0	0
FDVTS's Solution for 2nd COV19D Competition on COVID-19 Detection and Severity Analysis	Jul 5, 2022	ClassificationCOVID-19 Diagnosis	—Unverified	0	0
Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis	Dec 1, 2021	COVID-19 DiagnosisFederated Learning	—Unverified	0	0
Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis	May 21, 2021	COVID-19 DiagnosisFederated Learning	—Unverified	0	0
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training	Nov 2, 2021	COVID-19 DiagnosisFederated Learning	—Unverified	0	0
Few-shot Learning for CT Scan based COVID-19 Diagnosis	Feb 1, 2021	Computed Tomography (CT)COVID-19 Diagnosis	—Unverified	0	0
Fused Deep Convolutional Neural Network for Precision Diagnosis of COVID-19 Using Chest X-Ray Images	Sep 15, 2020	Computed Tomography (CT)COVID-19 Diagnosis	—Unverified	0	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