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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
COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing	Feb 11, 2021	COVID-19 DiagnosisPrognosis	—Unverified	0
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network	Jul 29, 2020	Computed Tomography (CT)COVID-19 Diagnosis	—Unverified	0
Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays	Dec 19, 2020	COVID-19 Diagnosis	—Unverified	0
COVID-19 Detection Based on Blood Test Parameters using Various Artificial Intelligence Methods	Apr 2, 2024	COVID-19 Diagnosis	—Unverified	0
Comparative performance analysis of the ResNet backbones of Mask RCNN to segment the signs of COVID-19 in chest CT scans	Aug 21, 2020	COVID-19 DiagnosisMedical Diagnosis	—Unverified	0
Combating COVID-19 using Generative Adversarial Networks and Artificial Intelligence for Medical Images: A Scoping Review	May 15, 2022	COVID-19 DiagnosisData Augmentation	—Unverified	0
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge	Jan 19, 2021	COVID-19 DiagnosisDiagnostic	—Unverified	0
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron	Feb 13, 2022	COVID-19 DiagnosisDiagnostic	—Unverified	0
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning	Feb 7, 2021	COVID-19 DiagnosisData Augmentation	—Unverified	0
HRCTCov19 -- A High-Resolution Chest CT Scan Image Dataset for COVID-19 Diagnosis and Differentiation	May 6, 2022	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