SOTAVerified

Pneumonia Detection

Papers

Showing 41–50 of 63 papers

TitleStatusHype
AutoEncoder Convolutional Neural Network for Pneumonia Detection—0
Calibrating for Class Weights by Modeling Machine Learning—0
Novel Pooling-based VGG-Lite for Pneumonia and Covid-19 Detection from Imbalanced Chest X-Ray Datasets—0
Pneumonia Detection in Chest Radiographs—0
Pneumonia Detection in Chest X-Ray Images : Handling Class Imbalance—0
Pneumonia Detection in Chest X-Rays using Neural Networks—0
Pneumonia Detection on chest X-ray images Using Ensemble of Deep Convolutional Neural Networks—0
Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning—0
Prediction of Pneumonia and COVID-19 Using Deep Neural Networks—0
Reducing Labelled Data Requirement for Pneumonia Segmentation using Image Augmentations—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