Accuracy of deep learning for automated detection of pneumonia using chest X-Ray images: A systematic review and meta-analysis
Y Li, Z Zhang, C Dai, Q Dong, S Badrigilan - Computers in Biology and …, 2020 - Elsevier
Background Recently, deep learning (DL) algorithms have received widespread popularity
in various medical diagnostics. This study aimed to evaluate the diagnostic performance of …
in various medical diagnostics. This study aimed to evaluate the diagnostic performance of …
LungNet22: a fine-tuned model for multiclass classification and prediction of lung disease using X-ray images
In recent years, lung disease has increased manyfold, causing millions of casualties
annually. To combat the crisis, an efficient, reliable, and affordable lung disease diagnosis …
annually. To combat the crisis, an efficient, reliable, and affordable lung disease diagnosis …
CGNet: A graph-knowledge embedded convolutional neural network for detection of pneumonia
Pneumonia is a global disease that causes high children mortality. The situation has even
been worsening by the outbreak of the new coronavirus named COVID-19, which has killed …
been worsening by the outbreak of the new coronavirus named COVID-19, which has killed …
AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays
Artificial intelligence (AI) has played a significant role in image analysis and feature
extraction, applied to detect and diagnose a wide range of chest-related diseases. Although …
extraction, applied to detect and diagnose a wide range of chest-related diseases. Although …
Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images
Pneumonia is an acute respiratory infection caused by bacteria, viruses, or fungi and has
become very common in children ranging from 1 to 5 years of age. Common symptoms of …
become very common in children ranging from 1 to 5 years of age. Common symptoms of …
Pediatric pneumonia diagnosis using stacked ensemble learning on multi-model deep CNN architectures
Pediatric pneumonia has drawn immense awareness due to the high mortality rates over
recent years. The acute respiratory infection caused by bacteria, viruses, or fungi infects the …
recent years. The acute respiratory infection caused by bacteria, viruses, or fungi infects the …
A cost‐sensitive deep learning‐based meta‐classifier for pediatric pneumonia classification using chest X‐rays
Literature survey shows that convolutional neural network (CNN)‐based pretrained models
have been successfully employed to diagnose and detect childhood pneumonia using chest …
have been successfully employed to diagnose and detect childhood pneumonia using chest …
[HTML][HTML] Advancing chest X-ray diagnostics: A novel CycleGAN-based preprocessing approach for enhanced lung disease classification in ChestX-Ray14
AH Chehade, N Abdallah, JM Marion, M Hatt… - Computer Methods and …, 2025 - Elsevier
Background and objective: Chest radiography is a medical imaging technique widely used
to diagnose thoracic diseases. However, X-ray images may contain artifacts such as …
to diagnose thoracic diseases. However, X-ray images may contain artifacts such as …
Development of pneumonia disease detection model based on deep learning algorithm
DS Al-Dulaimi, AG Mahmoud… - Wireless …, 2022 - Wiley Online Library
Pneumonia represents a life‐endangering and deadly disease that results from a viral or
bacterial infection in the human lungs. The earlier pneumonia's diagnosing is an essential …
bacterial infection in the human lungs. The earlier pneumonia's diagnosing is an essential …
Chest X-ray abnormality detection based on SqueezeNet
Many Chest X-Rays are used by radiologists worldwide to identify the presence of chest
diseases. Reading too many X-Rays in busy health centers may cause time and money loss …
diseases. Reading too many X-Rays in busy health centers may cause time and money loss …