SOTAVerified

Pneumonia Detection

Papers

Showing 51–63 of 63 papers

TitleStatusHype
Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning—0
Deep Neural Networks for COVID-19 Detection and Diagnosis using Images and Acoustic-based Techniques: A Recent Review—0
An Approach to Intelligent Pneumonia Detection and Integration—0
FPAENet: Pneumonia Detection Network Based on Feature Pyramid Attention Enhancement—0
An ensemble-based approach by fine-tuning the deep transfer learning models to classify pneumonia from chest X-ray images—0
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 Dataset—0
DECAPS: Detail-Oriented Capsule Networks—0
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray—0
Deep Compressed Pneumonia Detection for Low-Power Embedded Devices—0
Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed DomainCode0
Pneumonia Detection in Chest Radiographs—0
Annotating Clinical Events in Text Snippets for Phenotype Detection—0
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Benchmark Results

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