SOTAVerified

COVID-19 Diagnosis

Covid-19 Diagnosis is the task of diagnosing the presence of COVID-19 in an individual with machine learning.

Papers

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Showing 101–150 of 211 papers

TitleStatusHype
Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought—0
Robust and Interpretable COVID-19 Diagnosis on Chest X-ray Images using Adversarial Training—0
Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans—0
Secure Federated Learning Approaches to Diagnosing COVID-19—0
Shayona@SMM4H23: COVID-19 Self diagnosis classification using BERT and LightGBM models—0
SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation Model—0
ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation—0
Text Augmentations with R-drop for Classification of Tweets Self Reporting Covid-19—0
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic—0
Theory-inspired Label Shift Adaptation via Aligned Distribution Mixture—0
The Second DiCOVA Challenge: Dataset and performance analysis for COVID-19 diagnosis using acoustics—0
Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images—0
tmn at #SMM4H 2023: Comparing Text Preprocessing Techniques for Detecting Tweets Self-reporting a COVID-19 Diagnosis—0
Towards reliable respiratory disease diagnosis based on cough sounds and vision transformers—0
Triple-view Convolutional Neural Networks for COVID-19 Diagnosis with Chest X-ray—0
Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images—0
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data—0
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images—0
Using a novel fractional-order gradient method for CNN back-propagation—0
Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough—0
Virtual vs. Reality: External Validation of COVID-19 Classifiers using XCAT Phantoms for Chest Computed Tomography—0
Vision Transformer based COVID-19 Detection using Chest X-rays—0
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification—0
Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications—0
A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study—0
Within the Lack of COVID-19 Benchmark Dataset: A Novel GAN with Deep Transfer Learning for Corona-virus Detection in Chest X-ray Images—0
3D RegNet: Deep Learning Model for COVID-19 Diagnosis on Chest CT Image—0
Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review—0
A Data Augmented Approach to Transfer Learning for Covid-19 Detection—0
A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imaging—0
Advancing Diagnostic Precision: Leveraging Machine Learning Techniques for Accurate Detection of Covid-19, Pneumonia, and Tuberculosis in Chest X-Ray Images—0
HRCTCov19 -- A High-Resolution Chest CT Scan Image Dataset for COVID-19 Diagnosis and Differentiation—0
A hybrid deep learning framework for Covid-19 detection via 3D Chest CT Images—0
A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis—0
Analyzing the impact of SARS-CoV-2 variants on respiratory sound signals—0
An Ensemble Machine Learning Approach for Screening Covid-19 based on Urine Parameters—0
An Explainable-AI approach for Diagnosis of COVID-19 using MALDI-ToF Mass Spectrometry—0
An Explainable Non-local Network for COVID-19 Diagnosis—0
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning—0
A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals—0
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)—0
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron—0
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images—0
Augmented Curation of Unstructured Clinical Notes from a Massive EHR System Reveals Specific Phenotypic Signature of Impending COVID-19 Diagnosis—0
Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning—0
CCBlock: An Effective Use of Deep Learning for Automatic Diagnosis of COVID-19 Using X-Ray Images—0
CIRCA: comprehensible online system in support of chest X-rays-based COVID-19 diagnosis—0
CMC v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors—0
CNN-based Local Vision Transformer for COVID-19 Diagnosis—0
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge—0
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All datasetsCOVIDx CXR-3COVIDxCovid-19 Cough CambridgeCOVID-19 CXR DatasetCOVIDGRNovel COVID-19 Chestxray Repository

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SS-CXRPer-Class Accuracy98.25—Unverified
2DenseNet-169Per-Class Accuracy98.15—Unverified
3EfficientNet-B2Per-Class Accuracy97.6—Unverified
4Inception Resnet V2Per-Class Accuracy97.55—Unverified
5Inception ResNetPer-Class Accuracy97.5—Unverified
6DenseNet-121Per-Class Accuracy96.5—Unverified
7ViT-SPer-Class Accuracy89.25—Unverified
#ModelMetricClaimedVerifiedStatus
1Sanskar et al.3-class test accuracy98.38—Unverified
2Corona-Nidaan3-class test accuracy95—Unverified
3COVID-WideNetAUC0.95—Unverified
#ModelMetricClaimedVerifiedStatus
1AUCO ResNetAUC0.83—Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-B/32Average F10.95—Unverified
#ModelMetricClaimedVerifiedStatus
1DINO-CXRAccuracy76.47—Unverified
#ModelMetricClaimedVerifiedStatus
1Bhowal et al.ACCURACY95.49—Unverified