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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 21–30 of 211 papers

Title	Date	Tasks	Status	Hype
Integrative Analysis for COVID-19 Patient Outcome Prediction	Jul 20, 2020	Computed Tomography (CT)COVID-19 Diagnosis	CodeCode Available	1
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
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data	Jun 10, 2020	BIG-bench Machine LearningCOVID-19 Diagnosis	CodeCode Available	1
A Fully Automated Deep Learning-based Network For Detecting COVID-19 from a New And Large Lung CT Scan Dataset	Jun 4, 2020	COVID-19 Diagnosis	CodeCode Available	1
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images	Jun 3, 2020	COVID-19 DiagnosisGeneral Classification	CodeCode Available	1
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19	May 19, 2020	Computed Tomography (CT)COVID-19 Diagnosis	CodeCode Available	1
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image	May 6, 2020	Computed Tomography (CT)COVID-19 Diagnosis	CodeCode Available	1
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19	Apr 30, 2020	COVID-19 DiagnosisDiagnostic	CodeCode Available	1
Automated detection of COVID-19 cases using deep neural networks with X-ray images	Apr 28, 2020	Binary ClassificationCOVID-19 Diagnosis	CodeCode Available	1
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation	Apr 21, 2020	Computational EfficiencyCOVID-19 Diagnosis	CodeCode Available	1

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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