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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 101–110 of 211 papers

Title	Date	Tasks	Status	Hype
Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought	Aug 12, 2021	Computed Tomography (CT)COVID-19 Diagnosis	—Unverified	0
Robust and Interpretable COVID-19 Diagnosis on Chest X-ray Images using Adversarial Training	Nov 23, 2023	COVID-19 DiagnosisDecision Making	—Unverified	0
Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans	Apr 17, 2020	COVID-19 DiagnosisSelf-Supervised Learning	—Unverified	0
Secure Federated Learning Approaches to Diagnosing COVID-19	Jan 23, 2024	COVID-19 DiagnosisDecision Making	—Unverified	0
Shayona@SMM4H23: COVID-19 Self diagnosis classification using BERT and LightGBM models	Jan 4, 2024	Binary ClassificationClassification	—Unverified	0
SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation Model	Nov 23, 2022	COVID-19 DiagnosisDiagnostic	—Unverified	0
ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation	Mar 25, 2022	COVID-19 DiagnosisCOVID-19 Image Segmentation	—Unverified	0
Text Augmentations with R-drop for Classification of Tweets Self Reporting Covid-19	Nov 6, 2023	COVID-19 Diagnosis	—Unverified	0
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic	May 19, 2020	COVID-19 DiagnosisDrug Discovery	—Unverified	0
Theory-inspired Label Shift Adaptation via Aligned Distribution Mixture	Nov 4, 2024	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