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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 51–60 of 211 papers

Title	Date	Tasks	Status	Hype
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
tmn at #SMM4H 2023: Comparing Text Preprocessing Techniques for Detecting Tweets Self-reporting a COVID-19 Diagnosis	Nov 1, 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
Deep Learning Models for Classification of COVID-19 Cases by Medical Images	Oct 24, 2023	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