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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 161–170 of 211 papers

Title	Date	Tasks	Status	Hype	Score
COVID 19 Diagnosis Analysis using Transfer Learning	Mar 16, 2025	COVID-19 DiagnosisDiagnostic	—Unverified	0	0
COVID-19 diagnosis by routine blood tests using machine learning	Jun 4, 2020	BIG-bench Machine LearningCOVID-19 Diagnosis	—Unverified	0	0
Covid-19 diagnosis from x-ray using neural networks	May 29, 2021	COVID-19 Diagnosis	—Unverified	0	0
COVID-19 Diagnosis: ULGFBP-ResNet51 approach on the CT and the Chest X-ray Images Classification	Dec 20, 2023	COVID-19 Diagnosis	—Unverified	0	0
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	0
COVID-19 Infection Map Generation and Detection from Chest X-Ray Images	Sep 26, 2020	COVID-19 DiagnosisSegmentation	—Unverified	0	0
CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19	Feb 17, 2023	Computed Tomography (CT)COVID-19 Diagnosis	—Unverified	0	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	0
COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches	Apr 7, 2020	COVID-19 DiagnosisDeep Learning	—Unverified	0	0
Cross-Task Attention Network: Improving Multi-Task Learning for Medical Imaging Applications	Sep 7, 2023	COVID-19 DiagnosisLesion Segmentation	—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