Classification of Paediatric Pneumonia Using Modified DenseNet-121 Deep-Learning Model
There is a substantial worldwide effect, both in terms of disease and death, that is caused by
pediatric pneumonia, which is a disorder that affects children under the age of five. Even …
pediatric pneumonia, which is a disorder that affects children under the age of five. Even …
Deep-pneumonia framework using deep learning models based on chest X-ray images
NM Elshennawy, DM Ibrahim - Diagnostics, 2020 - mdpi.com
Pneumonia is a contagious disease that causes ulcers of the lungs, and is one of the main
reasons for death among children and the elderly in the world. Several deep learning …
reasons for death among children and the elderly in the world. Several deep learning …
Deep Learning Models for Classification of Pediatric Chest X-ray Images using VGG-16 and ResNet-50
RA Pugliesi - Sage Science Review of Applied Machine …, 2019 - journals.sagescience.org
Medical imaging plays a crucial role in diagnosing various diseases, including pneumonia,
in pediatric patients. In this research, we investigate the performance of two convolutional …
in pediatric patients. In this research, we investigate the performance of two convolutional …
Automated detection of pneumonia cases using deep transfer learning with paediatric chest X-ray images
Objective: Pneumonia is a lung infection and causes the inflammation of the small air sacs
(Alveoli) in one or both lungs. Proper and faster diagnosis of pneumonia at an early stage is …
(Alveoli) in one or both lungs. Proper and faster diagnosis of pneumonia at an early stage is …
Pneumonia prediction using deep learning in chest X-ray Images
M Maniruzzaman, A Sami, R Hoque, P Mandal - International Journal of …, 2024 - ijsra.net
Pneumonia, a potentially fatal lung disease caused by viral or bacterial infection, poses
challenges in diagnosis from chest X-ray images due to similarities with other lung …
challenges in diagnosis from chest X-ray images due to similarities with other lung …
Limited generalizability of deep learning algorithm for pediatric pneumonia classification on external data
Purpose (1) Develop a deep learning system (DLS) to identify pneumonia in pediatric chest
radiographs, and (2) evaluate its generalizability by comparing its performance on internal …
radiographs, and (2) evaluate its generalizability by comparing its performance on internal …
A lightweight convolutional neural network model for child pneumonia classification
Pneumonia is still a serious threat for children including newborns. Each year many children
died of pneumonia. Physicians diagnose pneumonia through some process including …
died of pneumonia. Physicians diagnose pneumonia through some process including …
A novel deep learning-based approach for prediction of neonatal respiratory disorders from chest X-ray images
AE Yildirim, M Canayaz - Biocybernetics and Biomedical Engineering, 2023 - Elsevier
In recent years, many diseases can be diagnosed in a short time with the use of deep
learning models in the field of medicine. Most of the studies in this area focus on adult or …
learning models in the field of medicine. Most of the studies in this area focus on adult or …
Automated diagnosis of childhood pneumonia in chest radiographs using modified densely residual bottleneck-layer features
Pneumonia is a severe infection that affects the lungs due to viral or bacterial infections such
as the novel COVID-19 virus resulting in mild to critical health conditions. One way to …
as the novel COVID-19 virus resulting in mild to critical health conditions. One way to …
Ensemble of deep capsule neural networks: an application to pediatric pneumonia prediction
Pneumonia disease accounts for 15% of all deaths in children under the age of five and
early detection of the disease significantly improves survival chances. In this work, we …
early detection of the disease significantly improves survival chances. In this work, we …