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Pneumonia Detection

Papers

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Showing 1–10 of 63 papers

TitleStatusHype
AI-Enhanced Pediatric Pneumonia Detection: A CNN-Based Approach Using Data Augmentation and Generative Adversarial Networks (GANs)Code0
Comparative Analysis of Vision Transformers and Traditional Deep Learning Approaches for Automated Pneumonia Detection in Chest X-Rays—0
FOAM: A General Frequency-Optimized Anti-Overlapping Framework for Overlapping Object Perception—0
Diagnostic Uncertainty in Pneumonia Detection using CNN MobileNetV2 and CNN from Scratch—0
Novel Pooling-based VGG-Lite for Pneumonia and Covid-19 Detection from Imbalanced Chest X-Ray Datasets—0
FMT:A Multimodal Pneumonia Detection Model Based on Stacking MOE Framework—0
Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized DataCode1
Lightweight Weighted Average Ensemble Model for Pneumonia Detection in Chest X-Ray Images—0
An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection—0
AutoEncoder Convolutional Neural Network for Pneumonia Detection—0
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All datasetsChestX-ray14Chest X-ray imagesCOVID-19 CXR Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1COVID-CXNetF-Score0.85—Unverified