Biphasic majority voting-based comparative COVID-19 diagnosis using chest X-ray images
KM Sunnetci, A Alkan - Expert Systems with Applications, 2023 - Elsevier
The COVID-19 pandemic has been affecting the world since December 2019, and
nowadays, the number of infected is increasing rapidly. Chest X-ray images are clinical …
nowadays, the number of infected is increasing rapidly. Chest X-ray images are clinical …
Intelligent pneumonia identification from chest x-rays: A systematic literature review
Chest radiography is a significant diagnostic tool used to detect diseases afflicting the chest.
The automatic detection techniques associated with computer vision are being adopted in …
The automatic detection techniques associated with computer vision are being adopted in …
Pneumonia detection in chest X-ray images using an ensemble of deep learning models
Pneumonia is a respiratory infection caused by bacteria or viruses; it affects many
individuals, especially in developing and underdeveloped nations, where high levels of …
individuals, especially in developing and underdeveloped nations, where high levels of …
Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with
numerous success stories. AI has also contributed to dealing with the coronavirus disease …
numerous success stories. AI has also contributed to dealing with the coronavirus disease …
Automated multi-class classification of lung diseases from CXR-images using pre-trained convolutional neural networks
SH Karaddi, LD Sharma - Expert Systems with Applications, 2023 - Elsevier
Abstract According to the World Health Organization (WHO), Pneumonia, COVID-19,
Tuberculosis, and Pneumothorax are the leading death causes in the world. Coughing …
Tuberculosis, and Pneumothorax are the leading death causes in the world. Coughing …
Ensemble image explainable AI (XAI) algorithm for severe community-acquired pneumonia and COVID-19 respiratory infections
L Zou, HL Goh, CJY Liew, JL Quah… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Since the onset of the COVID-19 pandemic in 2019, many clinical prognostic scoring tools
have been proposed or developed to aid clinicians in the disposition and severity …
have been proposed or developed to aid clinicians in the disposition and severity …
Multi-classification deep CNN model for diagnosing COVID-19 using iterative neighborhood component analysis and iterative ReliefF feature selection techniques …
Background The acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease seriously
affected worldwide health. It remains an important worldwide concern as the number of …
affected worldwide health. It remains an important worldwide concern as the number of …
D3SENet: A hybrid deep feature extraction network for Covid-19 classification using chest X-ray images
Covid-19 is one of the biggest global epidemics seen in the world in recent years. Because
of this, people's daily lifestyles, the economic conditions of countries and individuals, and …
of this, people's daily lifestyles, the economic conditions of countries and individuals, and …
Performance evaluation of the deep learning based convolutional neural network approach for the recognition of chest X-ray images
Recent advancement in the field of deep learning has provided promising performance for
the analysis of medical images. Every year, pneumonia is the leading cause for death of …
the analysis of medical images. Every year, pneumonia is the leading cause for death of …
SC2Net: a novel segmentation-based classification network for detection of COVID-19 in chest X-ray images
H Zhao, Z Fang, J Ren, C MacLellan… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
The pandemic of COVID-19 has become a global crisis in public health, which has led to a
massive number of deaths and severe economic degradation. To suppress the spread of …
massive number of deaths and severe economic degradation. To suppress the spread of …