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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 51–60 of 211 papers

Title	Date	Tasks	Status	Hype
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors	Aug 22, 2022	COVID-19 DiagnosisDiagnostic	—Unverified	0
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis	Aug 19, 2022	COVID-19 DiagnosisMedical Image Analysis	—Unverified	0
Improving COVID-19 CT Classification of CNNs by Learning Parameter-Efficient Representation	Aug 9, 2022	Contrastive LearningCOVID-19 Diagnosis	—Unverified	0
Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis	Aug 3, 2022	COVID-19 DiagnosisDiagnostic	CodeCode Available	0
Cov3d: Detection of the presence and severity of COVID-19 from CT scans using 3D ResNets	Jul 5, 2022	Computed Tomography (CT)COVID-19 Diagnosis	—Unverified	0
FDVTS's Solution for 2nd COV19D Competition on COVID-19 Detection and Severity Analysis	Jul 5, 2022	ClassificationCOVID-19 Diagnosis	—Unverified	0
CNN-based Local Vision Transformer for COVID-19 Diagnosis	Jul 5, 2022	COVID-19 Diagnosisimage-classification	—Unverified	0
Multi-scale alignment and Spatial ROI Module for COVID-19 Diagnosis	Jul 4, 2022	COVID-19 Diagnosis	—Unverified	0
COVID-19 Detection Using Transfer Learning Approach from Computed Tomography Images	Jul 1, 2022	Computed Tomography (CT)COVID-19 Diagnosis	CodeCode Available	0
PVT-COV19D: Pyramid Vision Transformer for COVID-19 Diagnosis	Jun 30, 2022	COVID-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