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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 121–130 of 211 papers

Title	Date	Tasks	Status	Hype
Corona-Nidaan: lightweight deep convolutional neural network for chest X-Ray based COVID-19 infection detection	Feb 1, 2021	COVID-19 DiagnosisTransfer Learning	CodeCode Available	0
Few-shot Learning for CT Scan based COVID-19 Diagnosis	Feb 1, 2021	Computed Tomography (CT)COVID-19 Diagnosis	—Unverified	0
Reliable COVID-19 Detection Using Chest X-ray Images	Jan 28, 2021	COVID-19 DiagnosisSpecificity	—Unverified	0
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge	Jan 19, 2021	COVID-19 DiagnosisDiagnostic	—Unverified	0
A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis	Jan 14, 2021	Computed Tomography (CT)COVID-19 Diagnosis	—Unverified	0
One Shot Model For The Prediction of COVID-19 and Lesions Segmentation In Chest CT Scans Through The Affinity Among Lesion Mask Features	Jan 4, 2021	COVID-19 DiagnosisInstance Segmentation	CodeCode Available	0
Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning	Jan 1, 2021	Computed Tomography (CT)COVID-19 Diagnosis	—Unverified	0
New Bag of Deep Visual Words based features to classify chest x-ray images for COVID-19 diagnosis	Dec 31, 2020	COVID-19 Diagnosis	—Unverified	0
Efficient and Visualizable Convolutional Neural Networks for COVID-19 Classification Using Chest CT	Dec 22, 2020	COVID-19 DiagnosisDiagnostic	CodeCode Available	0
Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays	Dec 19, 2020	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