CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images [PDF]
, 2021 Accurate and rapid detection of COVID-19 pneumonia is crucial for optimal patient treatment. Chest X-Ray (CXR) is the first line imaging test for COVID-19 pneumonia diagnosis as it is fast, cheap and easily accessible. Inspired by the success of deep learning (DL) in computer vision, many DL-models have been proposed to detect COVID-19 pneumonia using ...
arxiv +1 more source
Definitions, 2020 Background: 5–10% of OME cases may develop chronic otitis media with structural changes. The benefits of grom-met insertion are controversial. We have shown that mastoid volumes of healthy and OME patients differ significantly.
Anna Bielicka +15 more
semanticscholar +1 more source
Development and evaluation of a multiplex test for the detection of atypical bacterial DNA in community-acquired pneumonia during childhood [PDF]
, 2009 An incorrect or late diagnosis can lead to an increase in the morbidity and mortality caused by pneumonia, and the availability of a rapid and accurate microbiological test to verify the aetiology is imperative.
Carrillo, J.A. +7 more
core +1 more source
Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays [PDF]
arXiv, 2022 Computer-aided X-ray pneumonia lesion recognition is important for accurate diagnosis of pneumonia. With the emergence of deep learning, the identification accuracy of pneumonia has been greatly improved, but there are still some challenges due to the fuzzy appearance of chest X-rays.
arxiv
Prediction of Pneumonia and COVID-19 Using Deep Neural Networks [PDF]
arXiv, 2023 Pneumonia, caused by bacteria and viruses, is a rapidly spreading viral infection with global implications. Prompt identification of infected individuals is crucial for containing its transmission. This study explores the potential of medical image analysis to address this challenge.
arxiv
Identification and characterization of a type III secretion system in Chlamydophila psittaci [PDF]
, 2008 Chlamydiaceae are obligate intracellular Gram-negative bacteria replicating in vacuoles inside eukaryotic cells. It has been proven that most of them possess a type III secretion system (T3SS) allowing them to transfer effector molecules in the host cell.
Beeckman, Delphine Sylvie Anne +4 more
core +4 more sources
Evaluation of yield of currently available diagnostics by sample type to optimize detection of respiratory pathogens in patients with a community-acquired pneumonia [PDF]
, 2013 Background: For the detection of respiratory pathogens, the sampling strategy may influence the diagnostic yield. Ideally, samples from the lower respiratory tract are collected, but they are difficult to obtain.
Huijskens, E. (Elisabeth) +4 more
core +5 more sources
Deep Learning for Automatic Pneumonia Detection [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern
Recognition Workshops (CVPRW), Seattle, WA, USA, 2020, pp. 1436-1443, 2020 Pneumonia is the leading cause of death among young children and one of the top mortality causes worldwide. The pneumonia detection is usually performed through examine of chest X-ray radiograph by highly-trained specialists. This process is tedious and often leads to a disagreement between radiologists.
arxiv +1 more source
Epidemiology and associations with climatic conditions of Mycoplasma pneumoniae and Chlamydophila pneumoniae infections among Chinese children hospitalized with acute respiratory infections [PDF]
, 2013 BACKGROUND: The incidence of severe acute respiratory tract infections in children caused by Mycoplasma pneumoniae (syn. Schizoplasma pneumoniae) and Chlamydophila pneumoniae (formerly Chlamydia pneumoniae) varies greatly from year to year and place to ...
Hong Zhu +6 more
core +1 more source
Current perspectives on atypical pneumonia in children [PDF]
Clinical and Experimental Pediatrics, 2020 The major pathogens that cause atypical pneumonia are Mycoplasma pneumoniae, Chlamydophila pneumoniae, and Legionella pneumophila. Community-acquired pneumonia (CAP) caused by M. pneumoniae or C.
Jung Yeon Shim
doaj +1 more source