Results 51 to 60 of about 353,671 (365)

Lung Ultrasound Segmentation and Adaptation between COVID-19 and Community-Acquired Pneumonia [PDF]

open access: yesarXiv, 2021
Lung ultrasound imaging has been shown effective in detecting typical patterns for interstitial pneumonia, as a point-of-care tool for both patients with COVID-19 and other community-acquired pneumonia (CAP). In this work, we focus on the hyperechoic B-line segmentation task.
arxiv  

A Light CNN for detecting COVID-19 from CT scans of the chest [PDF]

open access: yesPattern Recognition Letters. 140 (2020) 95-100, 2020
OVID-19 is a world-wide disease that has been declared as a pandemic by the World Health Organization. Computer Tomography (CT) imaging of the chest seems to be a valid diagnosis tool to detect COVID-19 promptly and to control the spread of the disease.
arxiv   +1 more source

Computed Tomography for the Diagnosis and Evaluation of the Severity of Community-acquired Pneumonia in the Elderly.

open access: yesInternal medicine, 2016
OBJECTIVE We herein assessed the utility of computed tomography (CT) for the diagnosis and ascertainment of the severity of community-acquired pneumonia (CAP) in the elderly.
T. Haga   +4 more
semanticscholar   +1 more source

Diagnostic markers for community-acquired pneumonia

open access: yesAnnals of Translational Medicine, 2020
Community-acquired pneumonia (CAP) is one of the respiratory infectious diseases caused by not only bacteria, but also viruses. Antibiotic agents are needed to treat only bacterial but not viral CAP. In addition, there are some non-infectious respiratory
A. Ito, T. Ishida
semanticscholar   +1 more source

Detecting COVID-19 and Community Acquired Pneumonia using Chest CT scan images with Deep Learning [PDF]

open access: yesarXiv, 2021
We propose a two-stage Convolutional Neural Network (CNN) based classification framework for detecting COVID-19 and Community-Acquired Pneumonia (CAP) using the chest Computed Tomography (CT) scan images. In the first stage, an infection - COVID-19 or CAP, is detected using a pre-trained DenseNet architecture.
arxiv  

Prevalence, antimicrobial resistance, and staphylococcal toxin genes of blaTEM‐1a‐producing Staphylococcus aureus isolated from animals in Chongqing, China

open access: yesVeterinary Medicine and Science, Volume 9, Issue 1, Page 513-522, January 2023., 2023
The average isolation rate of livestock‐associated S. aureus is 6.5%, and the S. aureus isolates showed high resistance to a wide range of antimicrobials. Most strains, with the exception of three chicken‐associated strains, harbored blaTEM‐1a gene. All S.
Qingshuang Dong   +5 more
wiley   +1 more source

Genetic Regulation of Cytokine Response in Patients with Acute Community-acquired Pneumonia [PDF]

open access: yesarXiv, 2021
Background: Community-acquired pneumonia (CAP) is an acute disease condition with a high risk of rapid deteriorations. We analysed the influence of genetics on cytokine regulation to obtain a better understanding of patient's heterogeneity. Methods: For up to N=389 genotyped participants of the PROGRESS study of hospitalised CAP patients, we performed ...
arxiv  

Pneumonia Detection in Chest X-Ray Images : Handling Class Imbalance [PDF]

open access: yesarXiv, 2023
People all over the globe are affected by pneumonia but deaths due to it are highest in Sub-Saharan Asia and South Asia. In recent years, the overall incidence and mortality rate of pneumonia regardless of the utilization of effective vaccines and compelling antibiotics has escalated.
arxiv  

Community-Acquired Pneumonia [PDF]

open access: yes, 2020
Community-acquired pneumonia is an infection of the small airways and pulmonary parenchyma that develops in the outpatient setting. Despite the development of new antibiotics and vaccines, pneumonia is still a disease that occurs frequently in children under 5 years of age and is one of the main causes of mortality, especially in developing countries ...
María Lina, Boza Costagliola
openaire   +2 more sources

Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
Wearable sensors, empowered by AI and smart materials, revolutionize healthcare by enabling intelligent disease diagnosis, personalized therapy, and seamless health monitoring without disrupting daily life. This review explores cutting‐edge advancements in smart materials and AI‐driven technologies that empower wearable sensors for diagnostics and ...
Shuwen Chen   +14 more
wiley   +1 more source

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