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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 161–170 of 211 papers

Title	Date	Tasks	Status	Hype
Comparative performance analysis of the ResNet backbones of Mask RCNN to segment the signs of COVID-19 in chest CT scans	Aug 21, 2020	COVID-19 DiagnosisMedical Diagnosis	—Unverified	0
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)	Aug 9, 2020	COVID-19 DiagnosisDeep Learning	—Unverified	0
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department	Aug 4, 2020	COVID-19 DiagnosisDecision Making	CodeCode Available	1
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network	Jul 29, 2020	Computed Tomography (CT)COVID-19 Diagnosis	—Unverified	0
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis	Jul 26, 2020	Computed Tomography (CT)COVID-19 Diagnosis	CodeCode Available	1
Integrative Analysis for COVID-19 Patient Outcome Prediction	Jul 20, 2020	Computed Tomography (CT)COVID-19 Diagnosis	CodeCode Available	1
Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning	Jul 18, 2020	COVID-19 DiagnosisUncertainty Quantification	CodeCode Available	0
CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization	Jul 1, 2020	COVID-19 DiagnosisDiagnostic	CodeCode Available	1
Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications	Jun 23, 2020	COVID-19 Diagnosis	—Unverified	0
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images	Jun 16, 2020	Contrastive LearningCOVID-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