Pneumonia Diagnosis

Pneumonia diagnosis is being revolutionized by deep learning, aiming to improve accuracy and efficiency, particularly in pediatric populations where data scarcity is a challenge. Current research focuses on developing and refining convolutional neural networks (CNNs), often combined with vision transformers or incorporating techniques like contrastive learning and attention mechanisms, to analyze chest X-rays and identify pneumonia, including specific subtypes like Mycoplasma pneumoniae. These advancements hold significant promise for improving diagnostic capabilities, especially in resource-limited settings, by providing faster, more accessible, and potentially more accurate diagnoses.

Papers

October 21, 2024

An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection
Chandravardhan Singh Raghaw, Parth Shirish Bhore, Mohammad Zia Ur Rehman, Nagendra Kumar
Transformer Based Deep Convolutional Neural Network Chest X Ray Chest Radiograph Ventilator Associated Pneumonia Pneumonia Diagnosis

April 19, 2024

Improving Pediatric Pneumonia Diagnosis with Adult Chest X-ray Images Utilizing Contrastive Learning and Embedding Similarity
Mohammad Zunaed, Anwarul Hasan, Taufiq Hasan
Contrastive Learning Chest X Ray High Similarity Chest X Ray Image Pediatric COVID 19 Data Challenge Pneumonia Diagnosis

March 31, 2024

Pneumonia App: a mobile application for efficient pediatric pneumonia diagnosis using explainable convolutional neural networks (CNN)
Jiaming Deng, Zhenglin Chen, Minjiang Chen, Lulu Xu, Jiaqi Yang, Zhendong Luo, Peiwu Qin
Neural Network CNN Network Mobile Application Ventilator Associated Pneumonia Pneumonia Detection Pneumonia Diagnosis Lung Nodule Localization

January 4, 2024

A novel method to enhance pneumonia detection via a model-level ensembling of CNN and vision transformer
Sandeep Angara, Nishith Reddy Mannuru, Aashrith Mannuru, Sharath Thirunagaru
Convolutional Neural Network Vision Transformer New Method Model Ensembling Improved Classification Pneumonia Detection Pneumonia Diagnosis

October 4, 2023

Hybrid Inception Architecture with Residual Connection: Fine-tuned Inception-ResNet Deep Learning Model for Lung Inflammation Diagnosis from Chest Radiographs
Mehdi Neshat, Muktar Ahmed, Hossein Askari, Menasha Thilakaratne, Seyedali Mirjalili
Deep Learning Model Hybrid Deep Learning Chest Radiograph Residual Connection Pneumonia Diagnosis

August 20, 2023

Prediction of Pneumonia and COVID-19 Using Deep Neural Networks
M. S. Haque, M. S. Taluckder, S. B. Shawkat, M. A. Shahriyar, M. A. Sayed, C. Modak
Deep Neural Network Human Prediction Covid 19 Medical Image Analysis Chest X Ray Image Ventilator Associated Pneumonia Pneumonia Detection Pneumonia Diagnosis

July 23, 2022

Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays
Xinxu Wei, Haohan Bai, Xianshi Zhang, Yongjie Li
Contrastive Learning Chest X Ray Ventilator Associated Pneumonia Imbalanced Medical Image Pneumonia Diagnosis

Pneumonia Diagnosis

Papers

An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection

Improving Pediatric Pneumonia Diagnosis with Adult Chest X-ray Images Utilizing Contrastive Learning and Embedding Similarity

Pneumonia App: a mobile application for efficient pediatric pneumonia diagnosis using explainable convolutional neural networks (CNN)

A novel method to enhance pneumonia detection via a model-level ensembling of CNN and vision transformer

Hybrid Inception Architecture with Residual Connection: Fine-tuned Inception-ResNet Deep Learning Model for Lung Inflammation Diagnosis from Chest Radiographs

Prediction of Pneumonia and COVID-19 Using Deep Neural Networks

Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays