SOTAVerified

Pneumonia Detection

Papers

Showing 2650 of 63 papers

TitleStatusHype
How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection0
Optimized Deep Feature Selection for Pneumonia Detection: A Novel RegNet and XOR-Based PSO ApproachCode0
Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learning0
Prediction of Pneumonia and COVID-19 Using Deep Neural Networks0
DINO-CXR: A self supervised method based on vision transformer for chest X-ray classification0
Pneumonia Detection in Chest X-Ray Images : Handling Class Imbalance0
SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation Model0
From Competition to Collaboration: Making Toy Datasets on Kaggle Clinically Useful for Chest X-Ray Diagnosis Using Federated Learning0
An Adaptive and Altruistic PSO-based Deep Feature Selection Method for Pneumonia Detection from Chest X-RaysCode0
Supervised Dictionary Learning with Auxiliary CovariatesCode0
Calibrating for Class Weights by Modeling Machine Learning0
Making the Most of Text Semantics to Improve Biomedical Vision--Language ProcessingCode0
Pneumonia Detection in Chest X-Rays using Neural Networks0
A Novel Mask R-CNN Model to Segment Heterogeneous Brain Tumors through Image Subtraction0
Image quality assessment for machine learning tasks using meta-reinforcement learningCode0
Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls0
Dense Pixel-Labeling for Reverse-Transfer and Diagnostic Learning on Lung Ultrasound for COVID-19 and Pneumonia Detection0
Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation0
COVID-19 Pneumonia and Influenza Pneumonia Detection Using Convolutional Neural NetworksCode0
CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images0
The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-raysCode0
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?0
A Radiomics-Boosted Deep-Learning Model for COVID-19 and Non-COVID-19 Pneumonia Classification Using Chest X-ray Image0
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging0
Reducing Labelled Data Requirement for Pneumonia Segmentation using Image Augmentations0
Show:102550
← PrevPage 2 of 3Next →

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