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Pneumonia Detection

Papers

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Showing 1–25 of 63 papers

TitleStatusHype
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray ImagesCode1
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep LearningCode1
BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairsCode1
Multi-Objective Evolutionary Design of Deep Convolutional Neural Networks for Image ClassificationCode1
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
COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep LearningCode1
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer ApproachCode1
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive LearningCode1
Deep Learning for Automatic Pneumonia DetectionCode1
MUXConv: Information Multiplexing in Convolutional Neural NetworksCode1
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
An Approach to Intelligent Pneumonia Detection and Integration—0
A Novel Mask R-CNN Model to Segment Heterogeneous Brain Tumors through Image Subtraction—0
Calibrating for Class Weights by Modeling Machine Learning—0
Annotating Clinical Events in Text Snippets for Phenotype Detection—0
DINO-CXR: A self supervised method based on vision transformer for chest X-ray classification—0
AutoEncoder Convolutional Neural Network for Pneumonia Detection—0
Deep Compressed Pneumonia Detection for Low-Power Embedded Devices—0
DECAPS: Detail-Oriented Capsule Networks—0
A systematic review: Deep learning-based methods for pneumonia region detection—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
An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection—0
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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