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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 61–70 of 211 papers

Title	Date	Tasks	Status	Hype
Combating COVID-19 using Generative Adversarial Networks and Artificial Intelligence for Medical Images: A Scoping Review	May 15, 2022	COVID-19 DiagnosisData Augmentation	—Unverified	0
Covid-19 diagnosis from x-ray using neural networks	May 29, 2021	COVID-19 Diagnosis	—Unverified	0
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge	Jan 19, 2021	COVID-19 DiagnosisDiagnostic	—Unverified	0
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning	Feb 7, 2021	COVID-19 DiagnosisData Augmentation	—Unverified	0
HRCTCov19 -- A High-Resolution Chest CT Scan Image Dataset for COVID-19 Diagnosis and Differentiation	May 6, 2022	Computed Tomography (CT)COVID-19 Diagnosis	—Unverified	0
CNN-based Local Vision Transformer for COVID-19 Diagnosis	Jul 5, 2022	COVID-19 Diagnosisimage-classification	—Unverified	0
CMC v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors	Nov 26, 2022	COVID-19 DiagnosisRepresentation Learning	—Unverified	0
CIRCA: comprehensible online system in support of chest X-rays-based COVID-19 diagnosis	Oct 11, 2022	COVID-19 DiagnosisSpecificity	—Unverified	0
An Explainable Non-local Network for COVID-19 Diagnosis	Aug 8, 2024	COVID-19 Diagnosis	—Unverified	0
3D RegNet: Deep Learning Model for COVID-19 Diagnosis on Chest CT Image	Jul 8, 2021	COVID-19 DiagnosisDiagnostic	—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