[HTML][HTML] Deep learning for chest X-ray analysis: A survey
Recent advances in deep learning have led to a promising performance in many medical
image analysis tasks. As the most commonly performed radiological exam, chest …
image analysis tasks. As the most commonly performed radiological exam, chest …
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 develo** and underdeveloped nations, where high levels of …
individuals, especially in develo** and underdeveloped nations, where high levels of …
The effectiveness of deep learning vs. traditional methods for lung disease diagnosis using chest X-ray images: A systematic review
Recently, deep learning has proven to be a successful technique especially in medical
image analysis. This paper aims to highlight the importance of deep learning architectures in …
image analysis. This paper aims to highlight the importance of deep learning architectures in …
Pneumonia detection proposing a hybrid deep convolutional neural network based on two parallel visual geometry group architectures and machine learning …
Pneumonia is an acute respiratory infection that has led to significant deaths of people
worldwide. This lung disease is more common in people older than 65 and children under …
worldwide. This lung disease is more common in people older than 65 and children under …
Pediatric chest radiograph interpretation: how far has artificial intelligence come? A systematic literature review
Most artificial intelligence (AI) studies have focused primarily on adult imaging, with less
attention to the unique aspects of pediatric imaging. The objectives of this study were to (1) …
attention to the unique aspects of pediatric imaging. The objectives of this study were to (1) …
Pneumonia detection from lung X‐ray images using local search aided sine cosine algorithm based deep feature selection method
Pneumonia is a major cause of death among children below the age of 5 years, globally. It is
especially prevalent in develo** and underdeveloped nations where the risk factors for …
especially prevalent in develo** and underdeveloped nations where the risk factors for …
Advances in medical imaging: Deep learning strategies for pneumonia identification in chest x-rays
Pneumonia poses a widespread international fitness mission, in particular affecting prone
populations which include youngsters and the elderly. Rapid and accurate analysis is …
populations which include youngsters and the elderly. Rapid and accurate analysis is …
HFMOEA: A hybrid framework for multi-objective feature selection
In this data-driven era, where a large number of attributes are often publicly available,
redundancy becomes a major problem, which leads to large storage and computational …
redundancy becomes a major problem, which leads to large storage and computational …
MFBCNNC: Momentum factor biogeography convolutional neural network for COVID-19 detection via chest X-ray images
Abstract Aim: By October 6, 2020, Coronavirus disease 2019 (COVID-19) was diagnosed
worldwide, reaching 3,355, 7427 people and 1,037,862 deaths. Detection of COVID-19 and …
worldwide, reaching 3,355, 7427 people and 1,037,862 deaths. Detection of COVID-19 and …
Analysis of various optimizer on CNN model in the application of pneumonia detection
Pneumonia is a possibly lethal bacterial respiratory infection caused by bacteria, fungi, or
viruses that invade the alveoli of the human lung with a load of fluid or pus. The most often …
viruses that invade the alveoli of the human lung with a load of fluid or pus. The most often …