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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 171–180 of 211 papers

Title	Date	Tasks	Status	Hype
Pinball-OCSVM for early-stage COVID-19 diagnosis with limited posteroanterior chest X-ray images	Oct 16, 2020	COVID-19 DiagnosisDeep Learning	—Unverified	0
MH-COVIDNet: Diagnosis of COVID-19 using Deep Neural Networks and Meta-heuristic-based Feature Selection on X-ray Images	Oct 6, 2020	COVID-19 DiagnosisDeep Learning	CodeCode Available	0
RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-ray	Oct 6, 2020	Anomaly DetectionCOVID-19 Diagnosis	CodeCode Available	0
Medical Imaging and Computational Image Analysis in COVID-19 Diagnosis: A Review	Oct 1, 2020	COVID-19 DiagnosisDiagnostic	—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
COVID-19 Infection Map Generation and Detection from Chest X-Ray Images	Sep 26, 2020	COVID-19 DiagnosisSegmentation	—Unverified	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
Label-Free Segmentation of COVID-19 Lesions in Lung CT	Sep 8, 2020	Anomaly DetectionCOVID-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