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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
COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches	Apr 7, 2020	COVID-19 DiagnosisDeep Learning	—Unverified	0
COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Automated Diagnosis and Severity Assessment of COVID-19	Dec 10, 2020	COVID-19 DiagnosisTransfer Learning	—Unverified	0
CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19	Feb 17, 2023	Computed Tomography (CT)COVID-19 Diagnosis	—Unverified	0
Data Augmentation and CNN Classification For Automatic COVID-19 Diagnosis From CT-Scan Images On Small Dataset	Aug 16, 2021	ClassificationCOVID-19 Diagnosis	—Unverified	0
Decoding SARS-CoV-2 transmission, evolution and ramification on COVID-19 diagnosis, vaccine, and medicine	Apr 29, 2020	COVID-19 DiagnosisDiagnostic	—Unverified	0
An Ensemble Machine Learning Approach for Screening Covid-19 based on Urine Parameters	Nov 3, 2023	COVID-19 Diagnosis	—Unverified	0
A Data Augmented Approach to Transfer Learning for Covid-19 Detection	Aug 5, 2021	COVID-19 DiagnosisDeep Learning	—Unverified	0
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge	Jan 19, 2021	COVID-19 DiagnosisDiagnostic	—Unverified	0
Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia	Feb 21, 2020	Computed Tomography (CT)COVID-19 Diagnosis	—Unverified	0
Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning	Jan 1, 2021	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