SOTAVerified

Pneumonia Detection

Papers

Showing 5163 of 63 papers

TitleStatusHype
Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning0
Deep Neural Networks for COVID-19 Detection and Diagnosis using Images and Acoustic-based Techniques: A Recent Review0
An Approach to Intelligent Pneumonia Detection and Integration0
FPAENet: Pneumonia Detection Network Based on Feature Pyramid Attention Enhancement0
An ensemble-based approach by fine-tuning the deep transfer learning models to classify pneumonia from chest X-ray images0
MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patientsCode0
Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset0
DECAPS: Detail-Oriented Capsule Networks0
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray0
Deep Compressed Pneumonia Detection for Low-Power Embedded Devices0
Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed DomainCode0
Pneumonia Detection in Chest Radiographs0
Annotating Clinical Events in Text Snippets for Phenotype Detection0
Show:102550
← PrevPage 2 of 2Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1NSGANetV1-A3AUROC0.85Unverified
2NSGANetV1-XAUROC0.85Unverified
3CheXNetAUROC0.84Unverified
4MUXNet-mAUROC0.84Unverified
5AE-CNNAUROC0.82Unverified
#ModelMetricClaimedVerifiedStatus
1SelfsynthxAccuracy98.72Unverified
2DINO-CXRAccuracy95.65Unverified
3MSTPAccuracy92.79Unverified
#ModelMetricClaimedVerifiedStatus
1COVID-CXNetF-Score0.85Unverified