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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 71–80 of 211 papers

Title	Date	Tasks	Status	Hype
COVID-WideNet—A capsule network for COVID-19 detection	Mar 22, 2022	COVID-19 DiagnosisDiagnostic	CodeCode Available	0
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath	Mar 15, 2022	8kAudio Classification	CodeCode Available	1
Diagnosis of COVID-19 using chest X-ray images based on modified DarkCovidNet model	Mar 9, 2022	Binary ClassificationCOVID-19 Diagnosis	CodeCode Available	0
Virtual vs. Reality: External Validation of COVID-19 Classifiers using XCAT Phantoms for Chest Computed Tomography	Mar 7, 2022	Computed Tomography (CT)COVID-19 Diagnosis	—Unverified	0
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron	Feb 13, 2022	COVID-19 DiagnosisDiagnostic	—Unverified	0
Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough	Jan 5, 2022	COVID-19 DiagnosisSelf-Supervised Learning	—Unverified	0
A transfer learning-based deep learning approach for automated COVID-19 diagnosis with audio data	Dec 1, 2021	COVID-19 DiagnosisTransfer Learning	CodeCode Available	0
Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis	Dec 1, 2021	COVID-19 DiagnosisFederated Learning	—Unverified	0
Deep Learning Based Automated COVID-19 Classification from Computed Tomography Images	Nov 22, 2021	3D ClassificationAnatomy	CodeCode Available	0
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence	Nov 18, 2021	COVID-19 DiagnosisDiagnostic	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