AIMC Topic: Pneumonia, Bacterial
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Lightweight convolutional neural network for chest X-ray images classification.
Scientific reports
Nov 30, 2024
In this study, we developed a lightweight and rapid convolutional neural network (CNN) architecture for chest X-ray images; it primarily consists of a redesigned feature extraction (FE) module and multiscale feature (MF) module and validated using pu...
Enhancing pediatric pneumonia diagnosis through masked autoencoders.
Scientific reports
Mar 14, 2024
Pneumonia, an inflammatory lung condition primarily triggered by bacteria, viruses, or fungi, presents distinctive challenges in pediatric cases due to the unique characteristics of the respiratory system and the potential for rapid deterioration. Ti...
PulmoNet: a novel deep learning based pulmonary diseases detection model.
BMC medical imaging
Feb 28, 2024
Pulmonary diseases are various pathological conditions that affect respiratory tissues and organs, making the exchange of gas challenging for animals inhaling and exhaling. It varies from gentle and self-limiting such as the common cold and catarrh, ...
Pneumonia-Plus: a deep learning model for the classification of bacterial, fungal, and viral pneumonia based on CT tomography.
European radiology
Jun 30, 2023
OBJECTIVES: This study aims to develop a deep learning algorithm, Pneumonia-Plus, based on computed tomography (CT) images for accurate classification of bacterial, fungal, and viral pneumonia.
Classification and Detection of COVID-19 and Other Chest-Related Diseases Using Transfer Learning.
Sensors (Basel, Switzerland)
Oct 19, 2022
COVID-19 has infected millions of people worldwide over the past few years. The main technique used for COVID-19 detection is reverse transcription, which is expensive, sensitive, and requires medical expertise. X-ray imaging is an alternative and mo...
Automated detection of COVID-19 through convolutional neural network using chest x-ray images.
PloS one
Jan 21, 2022
The COVID-19 epidemic has a catastrophic impact on global well-being and public health. More than 27 million confirmed cases have been reported worldwide until now. Due to the growing number of confirmed cases, and challenges to the variations of the...
Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images.
IEEE/ACM transactions on computational biology and bioinformatics
Dec 8, 2021
A novel coronavirus (COVID-19) recently emerged as an acute respiratory syndrome, and has caused a pneumonia outbreak world-widely. As the COVID-19 continues to spread rapidly across the world, computed tomography (CT) has become essentially importan...
Convolutional Sparse Support Estimator-Based COVID-19 Recognition From X-Ray Images.
IEEE transactions on neural networks and learning systems
May 3, 2021
Coronavirus disease (COVID-19) has been the main agenda of the whole world ever since it came into sight. X-ray imaging is a common and easily accessible tool that has great potential for COVID-19 diagnosis and prognosis. Deep learning techniques can...
Accurately Discriminating COVID-19 from Viral and Bacterial Pneumonia According to CT Images Via Deep Learning.
Interdisciplinary sciences, computational life sciences
Feb 27, 2021
Computed tomography (CT) is one of the most efficient diagnostic methods for rapid diagnosis of the widespread COVID-19. However, reading CT films brings a lot of concentration and time for doctors. Therefore, it is necessary to develop an automatic ...
A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis.
The European respiratory journal
Aug 6, 2020
Coronavirus disease 2019 (COVID-19) has spread globally, and medical resources become insufficient in many regions. Fast diagnosis of COVID-19 and finding high-risk patients with worse prognosis for early prevention and medical resource optimisation ...
Coronavirus Infections
Automation
Female
Betacoronavirus
Lung Diseases, Fungal
Middle Aged
Deep Learning
SARS-CoV-2
Pneumonia, Bacterial
Prognosis
Humans
Pneumonia, Viral
Image Processing, Computer-Assisted
Lung
Retrospective Studies
Aged
Adult
Pandemics
Pneumonia, Mycoplasma
Area Under Curve
Tomography, X-Ray Computed
Male
COVID-19
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