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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 51–60 of 211 papers

Title	Date	Tasks	Status	Hype	Score
DRR4Covid: Learning Automated COVID-19 Infection Segmentation from Digitally Reconstructed Radiographs	Aug 26, 2020	COVID-19 DiagnosisDomain Adaptation	CodeCode Available	0	5
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	5
Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule Network	May 31, 2021	Computed Tomography (CT)COVID-19 Diagnosis	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
CT-xCOV: a CT-scan based Explainable Framework for COVid-19 diagnosis	Nov 24, 2023	COVID-19 DiagnosisSegmentation	CodeCode Available	0	5
A Deep Convolutional Neural Network for COVID-19 Detection Using Chest X-Rays	Apr 30, 2020	COVID-19 DiagnosisTransfer Learning	CodeCode Available	0	5
A transfer learning-based deep learning approach for automated COVID-19 diagnosis with audio data	Dec 1, 2021	COVID-19 DiagnosisTransfer Learning	CodeCode Available	0	5
COVID-19 detection using ViT transformer-based approach from Computed Tomography Images	Oct 12, 2023	Binary ClassificationCOVID-19 Diagnosis	CodeCode Available	0	5
Deep Learning Based Automated COVID-19 Classification from Computed Tomography Images	Nov 22, 2021	3D ClassificationAnatomy	CodeCode Available	0	5
COVIR: A virtual rendering of a novel NN architecture O-Net for COVID-19 Ct-scan automatic lung lesions segmentation	May 15, 2022	2D Semantic SegmentationCOVID-19 Diagnosis	CodeCode Available	0	5

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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