SOTAVerified

Pneumonia Detection

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 63 papers

TitleStatusHype
Deep Learning for Automatic Pneumonia DetectionCode1
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray ImagesCode1
BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairsCode1
CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimizationCode1
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep LearningCode1
MUXConv: Information Multiplexing in Convolutional Neural NetworksCode1
Multi-Objective Evolutionary Design of Deep Convolutional Neural Networks for Image ClassificationCode1
COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep LearningCode1
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive LearningCode1
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer ApproachCode1
Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized DataCode1
Comparative Analysis of Vision Transformers and Traditional Deep Learning Approaches for Automated Pneumonia Detection in Chest X-Rays—0
CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images—0
Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset—0
DECAPS: Detail-Oriented Capsule Networks—0
Deep Compressed Pneumonia Detection for Low-Power Embedded Devices—0
Deep Neural Networks for COVID-19 Detection and Diagnosis using Images and Acoustic-based Techniques: A Recent Review—0
Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation—0
Dense Pixel-Labeling for Reverse-Transfer and Diagnostic Learning on Lung Ultrasound for COVID-19 and Pneumonia Detection—0
Diagnostic Uncertainty in Pneumonia Detection using CNN MobileNetV2 and CNN from Scratch—0
DINO-CXR: A self supervised method based on vision transformer for chest X-ray classification—0
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging—0
FMT:A Multimodal Pneumonia Detection Model Based on Stacking MOE Framework—0
FOAM: A General Frequency-Optimized Anti-Overlapping Framework for Overlapping Object Perception—0
FPAENet: Pneumonia Detection Network Based on Feature Pyramid Attention Enhancement—0
From Competition to Collaboration: Making Toy Datasets on Kaggle Clinically Useful for Chest X-Ray Diagnosis Using Federated Learning—0
Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls—0
How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection—0
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?—0
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray—0
An Approach to Intelligent Pneumonia Detection and Integration—0
An ensemble-based approach by fine-tuning the deep transfer learning models to classify pneumonia from chest X-ray images—0
An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection—0
Annotating Clinical Events in Text Snippets for Phenotype Detection—0
A Novel Mask R-CNN Model to Segment Heterogeneous Brain Tumors through Image Subtraction—0
A novel method to enhance pneumonia detection via a model-level ensembling of CNN and vision transformer—0
A Radiomics-Boosted Deep-Learning Model for COVID-19 and Non-COVID-19 Pneumonia Classification Using Chest X-ray Image—0
A systematic review: Deep learning-based methods for pneumonia region detection—0
AutoEncoder Convolutional Neural Network for Pneumonia Detection—0
Calibrating for Class Weights by Modeling Machine Learning—0
Lightweight Weighted Average Ensemble Model for Pneumonia Detection in Chest X-Ray Images—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
Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learning—0
Show:102550
← PrevPage 1 of 2Next →
All datasetsChestX-ray14Chest X-ray imagesCOVID-19 CXR Dataset

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