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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 151–160 of 211 papers

Title	Date	Tasks	Status	Hype
Medical Imaging and Computational Image Analysis in COVID-19 Diagnosis: A Review	Oct 1, 2020	COVID-19 DiagnosisDiagnostic	—Unverified	0
COVID-19 Infection Map Generation and Detection from Chest X-Ray Images	Sep 26, 2020	COVID-19 DiagnosisSegmentation	—Unverified	0
Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis	Sep 26, 2020	COVID-19 DiagnosisSegmentation	CodeCode Available	0
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images	Sep 23, 2020	Computed Tomography (CT)COVID-19 Diagnosis	—Unverified	0
CCBlock: An Effective Use of Deep Learning for Automatic Diagnosis of COVID-19 Using X-Ray Images	Sep 21, 2020	COVID-19 Diagnosis	—Unverified	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
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification	Sep 15, 2020	COVID-19 DiagnosisGeneral Classification	CodeCode Available	1
Label-Free Segmentation of COVID-19 Lesions in Lung CT	Sep 8, 2020	Anomaly DetectionCOVID-19 Diagnosis	—Unverified	0
A free web service for fast COVID-19 classification of chest X-Ray images	Aug 27, 2020	COVID-19 DiagnosisGeneral Classification	CodeCode Available	0
DRR4Covid: Learning Automated COVID-19 Infection Segmentation from Digitally Reconstructed Radiographs	Aug 26, 2020	COVID-19 DiagnosisDomain Adaptation	CodeCode Available	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