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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 181–190 of 211 papers

Title	Date	Tasks	Status	Hype	Score
Diagnosis of COVID-19 based on Chest Radiography	Dec 26, 2022	ClassificationCOVID-19 Diagnosis	—Unverified	0	0
DINO-CXR: A self supervised method based on vision transformer for chest X-ray classification	Aug 1, 2023	COVID-19 DiagnosisImage Classification	—Unverified	0	0
Distant Domain Transfer Learning for Medical Imaging	Dec 10, 2020	ClassificationComputed Tomography (CT)	—Unverified	0	0
Domain Adaptation Using Pseudo Labels for COVID-19 Detection	Mar 18, 2024	COVID-19 DiagnosisDiagnostic	—Unverified	0	0
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia	May 6, 2020	Computed Tomography (CT)COVID-19 Diagnosis	—Unverified	0	0
Early COVID-19 Diagnosis from Lung Ultrasound Images Combining RIULBP-TP and 3D-DenseNet	Apr 19, 2022	COVID-19 Diagnosis	—Unverified	0	0
Pinball-OCSVM for early-stage COVID-19 diagnosis with limited posteroanterior chest X-ray images	Oct 16, 2020	COVID-19 DiagnosisDeep Learning	—Unverified	0	0
Empowering COVID-19 Detection: Optimizing Performance Through Fine-Tuned EfficientNet Deep Learning Architecture	Nov 28, 2023	COVID-19 DiagnosisDiagnostic	—Unverified	0	0
Enhanced detection of the presence and severity of COVID-19 from CT scans using lung segmentation	Mar 16, 2023	COVID-19 DiagnosisMedical Image Analysis	—Unverified	0	0
Enhancing COVID-19 Diagnosis through Vision Transformer-Based Analysis of Chest X-ray Images	Jun 12, 2023	Binary ClassificationClassification	—Unverified	0	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