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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 131–140 of 211 papers

Title	Date	Tasks	Status	Hype
Distant Domain Transfer Learning for Medical Imaging	Dec 10, 2020	ClassificationComputed Tomography (CT)	—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
Single-Shot Lightweight Model For The Detection of Lesions And The Prediction of COVID-19 From Chest CT Scans	Dec 2, 2020	ClassificationCOVID-19 Diagnosis	CodeCode Available	0
MAVIDH Score: A COVID-19 Severity Scoring using Chest X-Ray Pathology Features	Nov 30, 2020	COVID-19 DiagnosisPrognosis	CodeCode Available	0
Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach	Nov 29, 2020	COVID-19 Diagnosis	CodeCode Available	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
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging	Nov 23, 2020	ClassificationCOVID-19 Diagnosis	—Unverified	0
Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-ray Images	Nov 11, 2020	ClassificationCOVID-19 Diagnosis	CodeCode Available	1
Lightweight Model For The Prediction of COVID-19 Through The Detection And Segmentation of Lesions in Chest CT Scans	Nov 4, 2020	COVID-19 DiagnosisCOVID-19 Image Segmentation	CodeCode Available	1
Predicting intubation support requirement of patients using Chest X-ray with Deep Representation Learning	Oct 28, 2020	COVID-19 DiagnosisDeep Learning	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