AIMC Topic: Pneumonia

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Remora Namib Beetle Optimization Enabled Deep Learning for Severity of COVID-19 Lung Infection Identification and Classification Using CT Images.

Sensors (Basel, Switzerland) Jun 3, 2023
Coronavirus disease 2019 (COVID-19) has seen a crucial outburst for both females and males worldwide. Automatic lung infection detection from medical imaging modalities provides high potential for increasing the treatment for patients to tackle COVID...
COVID-19 Male Lung Deep Learning Tomography, X-Ray Computed Female Animals Fishes Coleoptera Pneumonia Perciformes
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Pneumonia detection with QCSA network on chest X-ray.

Scientific reports Jun 3, 2023
Worldwide, pneumonia is the leading cause of infant mortality. Experienced radiologists use chest X-rays to diagnose pneumonia and other respiratory diseases. The diagnostic procedure's complexity causes radiologists to disagree with the decision. Ea...
Neural Networks, Computer Deep Learning Pneumonia Radiography X-Rays Humans
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POLCOVID: a multicenter multiclass chest X-ray database (Poland, 2020-2021).

Scientific data Jun 2, 2023
The outbreak of the SARS-CoV-2 pandemic has put healthcare systems worldwide to their limits, resulting in increased waiting time for diagnosis and required medical assistance. With chest radiographs (CXR) being one of the most common COVID-19 diagno...
COVID-19 Algorithms SARS-CoV-2 Humans Artificial Intelligence COVID-19 Testing Radiography, Thoracic X-Rays Poland Deep Learning Pneumonia
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Pneumonia Detection Using Enhanced Convolutional Neural Network Model on Chest X-Ray Images.

Big data Apr 17, 2023
Pneumonia, caused by microorganisms, is a severely contagious disease that damages one or both the lungs of the patients. Early detection and treatment are typically favored to recover infected patients since untreated pneumonia can lead to major com...
Pneumonia Radiography, Thoracic Deep Learning Convolutional Neural Networks ROC Curve Neural Networks, Computer Algorithms Humans
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A multicenter evaluation of a deep learning software (LungQuant) for lung parenchyma characterization in COVID-19 pneumonia.

European radiology experimental Apr 10, 2023
BACKGROUND: The role of computed tomography (CT) in the diagnosis and characterization of coronavirus disease 2019 (COVID-19) pneumonia has been widely recognized. We evaluated the performance of a software for quantitative analysis of chest CT, the ...
Deep Learning Pneumonia SARS-CoV-2 Lung Humans Software COVID-19
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Deep Learning-Based Computer-Aided Detection System for Preoperative Chest Radiographs to Predict Postoperative Pneumonia.

Academic radiology Mar 16, 2023
RATIONALE AND OBJECTIVES: The role of preoperative chest radiography (CR) for prediction of postoperative pneumonia remains uncertain. We aimed to develop and validate a prediction model for postoperative pneumonia incorporating findings of preoperat...
Disease Progression Deep Learning Pneumonia Radiography Radiography, Thoracic Retrospective Studies Male Middle Aged Humans
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Computed tomography-based COVID-19 triage through a deep neural network using mask-weighted global average pooling.

Frontiers in cellular and infection microbiology Mar 3, 2023
BACKGROUND: There is an urgent need to find an effective and accurate method for triaging coronavirus disease 2019 (COVID-19) patients from millions or billions of people. Therefore, this study aimed to develop a novel deep-learning approach for COVI...
SARS-CoV-2 Deep Learning Pneumonia Triage COVID-19 Retrospective Studies Tomography, X-Ray Computed Humans Neural Networks, Computer
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Lung Diseases Detection Using Various Deep Learning Algorithms.

Journal of healthcare engineering Feb 3, 2023
The primary objective of this proposed framework work is to detect and classify various lung diseases such as pneumonia, tuberculosis, and lung cancer from standard X-ray images and Computerized Tomography (CT) scan images with the help of volume dat...
Tomography, X-Ray Computed Deep Learning Pneumonia Machine Learning Algorithms Humans
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PneuNet: deep learning for COVID-19 pneumonia diagnosis on chest X-ray image analysis using Vision Transformer.

Medical & biological engineering & computing Jan 31, 2023
A long-standing challenge in pneumonia diagnosis is recognizing the pathological lung texture, especially the ground-glass appearance pathological texture. One main difficulty lies in precisely extracting and recognizing the pathological features. Th...
Algorithms SARS-CoV-2 Deep Learning Pneumonia COVID-19 Testing Humans COVID-19 X-Rays
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CNN-RNN Network Integration for the Diagnosis of COVID-19 Using Chest X-ray and CT Images.

Sensors (Basel, Switzerland) Jan 25, 2023
The 2019 coronavirus disease (COVID-19) has rapidly spread across the globe. It is crucial to identify positive cases as rapidly as humanely possible to provide appropriate treatment for patients and prevent the pandemic from spreading further. Both ...
X-Rays Pneumonia COVID-19 Testing Tomography, X-Ray Computed SARS-CoV-2 Deep Learning Humans Neural Networks, Computer COVID-19
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