AIMC Topic: Pneumonia

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A CNN-transformer fusion network for COVID-19 CXR image classification.

PloS one Oct 27, 2022
The global health crisis due to the fast spread of coronavirus disease (Covid-19) has caused great danger to all aspects of healthcare, economy, and other aspects. The highly infectious and insidious nature of the new coronavirus greatly increases th...
Deep Learning COVID-19 Pneumonia Algorithms Humans Neural Networks, Computer
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The effect of Gaussian noise on pneumonia detection on chest radiographs, using convolutional neural networks.

Radiography (London, England : 1995) Oct 20, 2022
INTRODUCTION: Chest X-rays (CXR) with under-exposure increase image noise and this may affect convolutional neural network (CNN) performance. This study aimed to train and validate CNNs for classifying pneumonia on CXR as normal or pneumonia acquired...
Radiography Deep Learning Pneumonia Humans Neural Networks, Computer
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Deep learning-based classification for lung opacities in chest x-ray radiographs through batch control and sensitivity regulation.

Scientific reports Oct 20, 2022
In this study, we implemented a system to classify lung opacities from frontal chest x-ray radiographs. We also proposed a training method to address the class imbalance problem presented in the dataset. We participated in the Radiological Society of...
Humans X-Rays Neural Networks, Computer Lung Deep Learning Pneumonia
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Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images.

IEEE/ACM transactions on computational biology and bioinformatics Oct 10, 2022
Accurate and rapid diagnosis of coronavirus disease 2019 (COVID-19) from chest CT scans is of great importance and urgency during the worldwide outbreak. However, radiologists have to distinguish COVID-19 pneumonia from other pneumonia in a large num...
COVID-19 Tomography, X-Ray Computed Humans Pneumonia COVID-19 Testing SARS-CoV-2 Deep Learning
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Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI.

Computers in biology and medicine Oct 3, 2022
Chest X-ray (CXR) images are considered useful to monitor and investigate a variety of pulmonary disorders such as COVID-19, Pneumonia, and Tuberculosis (TB). With recent technological advancements, such diseases may now be recognized more precisely ...
Humans Deep Learning Pneumonia Artificial Intelligence Tuberculosis COVID-19
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Dynamic feature learning for COVID-19 segmentation and classification.

Computers in biology and medicine Sep 30, 2022
Since December 2019, coronavirus SARS-CoV-2 (COVID-19) has rapidly developed into a global epidemic, with millions of patients affected worldwide. As part of the diagnostic pathway, computed tomography (CT) scans are used to help patient management. ...
COVID-19 Tomography, X-Ray Computed Deep Learning Pneumonia SARS-CoV-2 Humans
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Machine learning-derived prediction of in-hospital mortality in patients with severe acute respiratory infection: analysis of claims data from the German-wide Helios hospital network.

Respiratory research Sep 23, 2022
BACKGROUND: Severe acute respiratory infections (SARI) are the most common infectious causes of death. Previous work regarding mortality prediction models for SARI using machine learning (ML) algorithms that can be useful for both individual risk str...
Pneumonia Aged Male Hospitals Hospital Mortality Retrospective Studies Female Humans Machine Learning
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COVID-19 Semantic Pneumonia Segmentation and Classification Using Artificial Intelligence.

Contrast media & molecular imaging Sep 15, 2022
Coronavirus 2019 (COVID-19) has become a pandemic. The seriousness of COVID-19 can be realized from the number of victims worldwide and large number of deaths. This paper presents an efficient deep semantic segmentation network (DeepLabv3Plus). Initi...
Semantics Deep Learning Pneumonia COVID-19 SARS-CoV-2 Humans Artificial Intelligence
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Automatic Detection of Cases of COVID-19 Pneumonia from Chest X-ray Images and Deep Learning Approaches.

Computational intelligence and neuroscience Sep 6, 2022
Machine learning has already been used as a resource for disease detection and health care as a complementary tool to help with various daily health challenges. The advancement of deep learning techniques and a large amount of data-enabled algorithms...
SARS-CoV-2 Deep Learning COVID-19 Tomography, X-Ray Computed Humans Pneumonia Neural Networks, Computer X-Rays
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Ensemble of Deep Neural Networks based on Condorcet's Jury Theorem for screening Covid-19 and Pneumonia from radiograph images.

Computers in biology and medicine Aug 25, 2022
COVID-19 detection using Artificial Intelligence and Computer-Aided Diagnosis has been the subject of several studies. Deep Neural Networks with hundreds or even millions of parameters (weights) are referred to as "black boxes" because their behavior...
Pneumonia COVID-19 Humans Neural Networks, Computer Deep Learning Artificial Intelligence
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