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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 81–90 of 211 papers

Title	Date	Tasks	Status	Hype	Score
A 3D CNN Network with BERT For Automatic COVID-19 Diagnosis From CT-Scan Images	Jun 28, 2021	COVID-19 Diagnosis	CodeCode Available	0	5
Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis	Sep 26, 2020	COVID-19 DiagnosisSegmentation	CodeCode Available	0	5
One Shot Model For COVID-19 Classification and Lesions Segmentation In Chest CT Scans Using LSTM With Attention Mechanism	Feb 19, 2021	COVID-19 DiagnosisCOVID-19 Image Segmentation	CodeCode Available	0	5
Virtual imaging trials improved the transparency and reliability of AI systems in COVID-19 imaging	Aug 17, 2023	3D ClassificationComputed Tomography (CT)	CodeCode Available	0	5
Covid-19 diagnosis from x-ray using neural networks	May 29, 2021	COVID-19 Diagnosis	—Unverified	0	0
COVID-19 diagnosis by routine blood tests using machine learning	Jun 4, 2020	BIG-bench Machine LearningCOVID-19 Diagnosis	—Unverified	0	0
COVID 19 Diagnosis Analysis using Transfer Learning	Mar 16, 2025	COVID-19 DiagnosisDiagnostic	—Unverified	0	0
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images	Sep 23, 2020	Computed Tomography (CT)COVID-19 Diagnosis	—Unverified	0	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	0
COVID-19 Detection in Chest X-ray Images Using Swin-Transformer and Transformer in Transformer	Oct 16, 2021	COVID-19 DiagnosisEthics	—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