AIMC Topic: Pneumonia
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Lung detection and severity prediction of pneumonia patients based on COVID-19 DET-PRE network.
Expert review of medical devices
Dec 14, 2021
BACKGROUND: The sudden outbreak of COVID-19 pneumonia has brought a heavy disaster to individuals globally. Facing this new virus, the clinicians have no automatic tools to assess the severity of pneumonia patients.
Deep learning computer-aided detection system for pneumonia in febrile neutropenia patients: a diagnostic cohort study.
BMC pulmonary medicine
Dec 7, 2021
BACKGROUND: Diagnosis of pneumonia is critical in managing patients with febrile neutropenia (FN), however, chest X-ray (CXR) has limited performance in the detection of pneumonia. We aimed to evaluate the performance of a deep learning-based compute...
Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-rays.
Scientific reports
Dec 1, 2021
SARS-CoV2 pandemic exposed the limitations of artificial intelligence based medical imaging systems. Earlier in the pandemic, the absence of sufficient training data prevented effective deep learning (DL) solutions for the diagnosis of COVID-19 based...
Diagnostic Value of Deep Learning-Based CT Feature for Severe Pulmonary Infection.
Journal of healthcare engineering
Nov 26, 2021
The study aimed to explore the diagnostic value of computed tomography (CT) images based on cavity convolution U-Net algorithm for patients with severe pulmonary infection. A new lung CT image segmentation algorithm (U-Net+ deep convolution (DC)) was...
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Oct 23, 2021
The global pandemic of coronavirus disease 2019 (COVID-19) is continuing to have a significant effect on the well-being of the global population, thus increasing the demand for rapid testing, diagnosis, and treatment. As COVID-19 can cause severe pne...
Diagnosis of Pneumonia by Cough Sounds Analyzed with Statistical Features and AI.
Sensors (Basel, Switzerland)
Oct 23, 2021
Pneumonia is a serious disease often accompanied by complications, sometimes leading to death. Unfortunately, diagnosis of pneumonia is frequently delayed until physical and radiologic examinations are performed. Diagnosing pneumonia with cough sound...
Can Deep Learning-Based Volumetric Analysis Predict Oxygen Demand Increase in Patients with COVID-19 Pneumonia?
Medicina (Kaunas, Lithuania)
Oct 22, 2021
: This study aimed to investigate whether predictive indicators for the deterioration of respiratory status can be derived from the deep learning data analysis of initial chest computed tomography (CT) scans of patients with coronavirus disease 2019 ...
Limited generalizability of deep learning algorithm for pediatric pneumonia classification on external data.
Emergency radiology
Oct 14, 2021
PURPOSE: (1) Develop a deep learning system (DLS) to identify pneumonia in pediatric chest radiographs, and (2) evaluate its generalizability by comparing its performance on internal versus external test datasets.
Artificial intelligence on COVID-19 pneumonia detection using chest xray images.
PloS one
Oct 14, 2021
Recent studies show the potential of artificial intelligence (AI) as a screening tool to detect COVID-19 pneumonia based on chest x-ray (CXR) images. However, issues on the datasets and study designs from medical and technical perspectives, as well a...
Determining Top Fully Connected Layer's Hidden Neuron Count for Transfer Learning, Using Knowledge Distillation: a Case Study on Chest X-Ray Classification of Pneumonia and COVID-19.
Journal of digital imaging
Sep 29, 2021
Deep convolutional neural network (CNN)-assisted classification of images is one of the most discussed topics in recent years. Continuously innovation of neural network architectures is making it more correct and efficient every day. But training a n...
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