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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 31–40 of 211 papers

Title	Date	Tasks	Status	Hype
COVID-CT-Dataset: A CT Scan Dataset about COVID-19	Mar 30, 2020	Computed Tomography (CT)COVID-19 Diagnosis	CodeCode Available	1
Label-Assemble: Leveraging Multiple Datasets with Partial Labels	Sep 25, 2021	COVID-19 DiagnosisSpecificity	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
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-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional Features	Oct 14, 2020	COVID-19 DiagnosisCOVID-19 Image Segmentation	CodeCode Available	1
Can AI help in screening Viral and COVID-19 pneumonia?	Mar 29, 2020	ArticlesCOVID-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
Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19	Oct 26, 2020	COVID-19 DiagnosisCOVID-19 Image Segmentation	CodeCode Available	1
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
A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis	Jan 14, 2021	Computed Tomography (CT)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