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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 111–120 of 211 papers

Title	Date	Tasks	Status	Hype	Score
The Second DiCOVA Challenge: Dataset and performance analysis for COVID-19 diagnosis using acoustics	Oct 4, 2021	COVID-19 Diagnosis	—Unverified	0	0
Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images	Jun 28, 2021	COVID-19 Diagnosis	—Unverified	0	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	0
Towards reliable respiratory disease diagnosis based on cough sounds and vision transformers	Aug 28, 2024	COVID-19 Diagnosis	—Unverified	0	0
Triple-view Convolutional Neural Networks for COVID-19 Diagnosis with Chest X-ray	Oct 27, 2020	COVID-19 Diagnosis	—Unverified	0	0
Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images	Feb 16, 2021	COVID-19 DiagnosisGeneral Classification	—Unverified	0	0
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data	Feb 12, 2021	Computed Tomography (CT)COVID-19 Diagnosis	—Unverified	0	0
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images	Nov 27, 2020	ClassificationCOVID-19 Diagnosis	—Unverified	0	0
Using a novel fractional-order gradient method for CNN back-propagation	May 1, 2022	COVID-19 Diagnosis	—Unverified	0	0
Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough	Jan 5, 2022	COVID-19 DiagnosisSelf-Supervised Learning	—Unverified	0	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