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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 11–20 of 211 papers

Title	Date	Tasks	Status	Hype
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
COVID-19 Diagnosis: ULGFBP-ResNet51 approach on the CT and the Chest X-ray Images Classification	Dec 20, 2023	COVID-19 Diagnosis	—Unverified	0
COVID-19 Detection Using Slices Processing Techniques and a Modified Xception Classifier from Computed Tomography Images	Dec 10, 2023	Binary ClassificationComputed Tomography (CT)	—Unverified	0
Empowering COVID-19 Detection: Optimizing Performance Through Fine-Tuned EfficientNet Deep Learning Architecture	Nov 28, 2023	COVID-19 DiagnosisDiagnostic	—Unverified	0
CT-xCOV: a CT-scan based Explainable Framework for COVid-19 diagnosis	Nov 24, 2023	COVID-19 DiagnosisSegmentation	CodeCode Available	0
Robust and Interpretable COVID-19 Diagnosis on Chest X-ray Images using Adversarial Training	Nov 23, 2023	COVID-19 DiagnosisDecision Making	—Unverified	0
Text Augmentations with R-drop for Classification of Tweets Self Reporting Covid-19	Nov 6, 2023	COVID-19 Diagnosis	—Unverified	0
An Ensemble Machine Learning Approach for Screening Covid-19 based on Urine Parameters	Nov 3, 2023	COVID-19 Diagnosis	—Unverified	0
C2C: Cough to COVID-19 Detection in BHI 2023 Data Challenge	Nov 1, 2023	COVID-19 DiagnosisData Augmentation	CodeCode Available	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