AIMC Topic: Pneumonia

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Deep Supervised Domain Adaptation for Pneumonia Diagnosis From Chest X-Ray Images.

IEEE journal of biomedical and health informatics Mar 7, 2022
Pneumonia is one of the most common treatable causes of death, and early diagnosis allows for early intervention. Automated diagnosis of pneumonia can therefore improve outcomes. However, it is challenging to develop high-performance deep learning mo...
Pneumonia Early Diagnosis X-Rays Humans Tomography, X-Ray Computed Deep Learning
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A Broad Learning System to Predict the 28-Day Mortality of Patients Hospitalized with Community-Acquired Pneumonia: A Case-Control Study.

Computational and mathematical methods in medicine Mar 4, 2022
This study was to conduct a model based on the broad learning system (BLS) for predicting the 28-day mortality of patients hospitalized with community-acquired pneumonia (CAP). A total of 1,210 eligible CAP cases from Chifeng Municipal Hospital were ...
China Computational Biology Pneumonia Community-Acquired Infections Epidemiological Models Humans Neural Networks, Computer Machine Learning Retrospective Studies Male Female Middle Aged Risk Factors Case-Control Studies Hospitalization Aged
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INASNET: Automatic identification of coronavirus disease (COVID-19) based on chest X-ray using deep neural network.

ISA transactions Mar 3, 2022
Testing is one of the important methodologies used by various countries in order to fight against COVID-19 infection. The infection is considered as one of the deadliest ones although the mortality rate is not very high. COVID-19 infection is being c...
RNA, Viral Radiography, Thoracic X-Rays Deep Learning Pneumonia Humans Neural Networks, Computer COVID-19 Algorithms SARS-CoV-2
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An Improved COVID-19 Detection using GAN-Based Data Augmentation and Novel QuNet-Based Classification.

BioMed research international Feb 26, 2022
COVID-19 is a fatal disease caused by the SARS-CoV-2 virus that has caused around 5.3 Million deaths globally as of December 2021. The detection of this disease is a time taking process that have worsen the situation around the globe, and the disease...
COVID-19 Databases, Factual Deep Learning Humans Neural Networks, Computer Computer Graphics Image Processing, Computer-Assisted Pneumonia Radiography
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Deploying Machine Learning Models Using Progressive Web Applications: Implementation Using a Neural Network Prediction Model for Pneumonia Related Child Mortality in The Gambia.

Frontiers in public health Feb 18, 2022
BACKGROUND: Translating research outputs into practical tools for medical practitioners is a neglected area and could have a substantial impact. One of the barriers to implementing artificial intelligence (AI) and machine learning (ML) applications i...
Artificial Intelligence Pneumonia Child Mortality Humans Machine Learning Neural Networks, Computer Internet Gambia Child
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Novel Privacy Preserving Non-Invasive Sensing-Based Diagnoses of Pneumonia Disease Leveraging Deep Network Model.

Sensors (Basel, Switzerland) Jan 8, 2022
This article presents non-invasive sensing-based diagnoses of pneumonia disease, exploiting a deep learning model to make the technique non-invasive coupled with security preservation. Sensing and securing healthcare and medical images such as X-rays...
Humans Neural Networks, Computer Pneumonia Algorithms Bayes Theorem Deep Learning Privacy
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Fully automatic pipeline of convolutional neural networks and capsule networks to distinguish COVID-19 from community-acquired pneumonia via CT images.

Computers in biology and medicine Dec 29, 2021
BACKGROUND: Chest computed tomography (CT) is crucial in the diagnosis of coronavirus disease 2019 (COVID-19). However, the persistent pandemic and similar CT manifestations between COVID-19 and community-acquired pneumonia (CAP) raise methodological...
Tomography, X-Ray Computed SARS-CoV-2 Deep Learning Pneumonia Humans Neural Networks, Computer COVID-19
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Deep diagnostic agent forest (DDAF): A deep learning pathogen recognition system for pneumonia based on CT.

Computers in biology and medicine Dec 16, 2021
BACKGROUND: Even though antibiotics agents are widely used, pneumonia is still one of the most common causes of death around the world. Some severe, fast-spreading pneumonia can even cause huge influence on global economy and life security. In order ...
Humans Deep Learning Pneumonia Forests Retrospective Studies Tomography, X-Ray Computed
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Classification of COVID-19 and Pneumonia Using Deep Transfer Learning.

Journal of healthcare engineering Dec 16, 2021
The World Health Organization (WHO) recognized COVID-19 as the cause of a global pandemic in 2019. COVID-19 is caused by SARS-CoV-2, which was identified in China in late December 2019 and is indeed referred to as the severe acute respiratory syndrom...
Child Pneumonia Humans COVID-19 Pandemics SARS-CoV-2 Deep Learning
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Magnetic Resonance Imaging Images under Deep Learning in the Identification of Tuberculosis and Pneumonia.

Journal of healthcare engineering Dec 15, 2021
This work aimed to explore the application value of deep learning-based magnetic resonance imaging (MRI) images in the identification of tuberculosis and pneumonia, in order to provide a certain reference basis for clinical identification. In this st...
Magnetic Resonance Imaging Pneumonia Tuberculosis, Pulmonary Signal-To-Noise Ratio Algorithms Humans Deep Learning
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